Ingrid Van Keilegom · 2020. 11. 14. · Curriculum Vitae Ingrid Van Keilegom, November 14, 2020 2. 12.Visiting professor at Universit e de Toulouse I, March-May 2010 13.Visiting

Curriculum Vitae

Ingrid Van Keilegom

ORSTAT

KU Leuven

[email protected]

https://feb.kuleuven.be/ingrid.vankeilegom/

Last update: March 17, 2021

Contents

1 Personal information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

2 Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

3 Scientific presentations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

4 Research visits abroad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

5 Teaching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46

6 Supervision of PhD students and postdocs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

7 Grants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

8 Fellowships, honors and awards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

9 Editorships / associate editorships . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

10 Service to the profession . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56

Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 ii

1 Personal information

Personal data

Name : Van Keilegom

First Name : Ingrid

Professional Address : KU Leuven

ORSTAT

Naamsestraat 69

B-3000 Leuven

Belgium

Phone : + 32 16 32 87 44

E-mail : [email protected]

Date of birth : 24 December 1971

Place of birth : Wilrijk (Antwerp)

Nationality : Belgian

Education

1. Ph.D. in Statistics, ‘Nonparametric estimation of the conditional distribution in regres-

sion with censored data’, Limburgs Universitair Centrum (now : Universiteit Hasselt),

15 May 1998, advisor : Prof. Dr. N. Veraverbeke. The thesis can be downloaded from

http://ibiostat.be/publications.

2. Master of Science in Biostatistics, Limburgs Universitair Centrum, 1998

3. Licentiate in Mathematical Sciences, Universitaire Instelling Antwerpen, 1993

Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 1

Academic appointments

Permanent positions :

1. From 1 December 2016 on : Full Professor at KU Leuven

2. From 1 December 2016 on : Part-time Full Professor at UCLouvain

3. From 1 October 2008 until 30 November 2016 : Full Professor at UCLouvain

4. From 1 October 2005 until 30 September 2008 : Associate Professor at UCLouvain

5. From 1 September 2000 until 30 September 2005 : Assistant Professor at UCLouvain

6. From 16 August 1999 until 31 August 2000 : Assistant Professor at Eindhoven University

of Technology (The Netherlands), Department of Mathematics

7. From 1 October 1998 until 15 August 1999 : Assistant Professor at Pennsylvania State

University (U.S.A.), Department of Statistics

8. From 1 October 1993 until 30 September 1998 : Ph.D. student at Limburgs Universitair

Centrum, Department of Mathematics

Visiting positions :

1. Visiting professor at ENSAI, Rennes, November 2018

2. Visiting professor at Universite de Toulouse I, June 2017

3. Visiting professor at Universiteit Hasselt, October-November 2016

4. Visiting professor at Universite de Toulouse I, March 2016

5. Visiting professor at Universite de Toulouse I, November-December 2014

6. Visiting professor at ENSAI, Rennes, October-November 2014

7. Visiting professor at Universiteit Hasselt, September-October 2014

8. Visiting professor at Universite de Toulouse I, March-April 2014

9. Visiting professor at ENSAI, Rennes, December 2013




12. Visiting professor at Universite de Toulouse I, March-May 2010

13. Visiting professor at Universiteit Hasselt, April-May 2009

14. Visiting professor at INSA, Rennes, July 2008

15. Visiting professor at Universite Paul Sabatier, Toulouse, June 2008

16. Visiting professor at Universiteit Hasselt, April-May 2008

17. Visiting professor at Universite Paul Sabatier, Toulouse, February-March 2007

18. Visiting professor at University of Vigo, June 2006 and June 2007

19. Visiting professor at Limburgs Universitair Centrum, April-June 2002

20. Visiting professor at the Australian National University, January-February 2002

21. Extramural fellow of the research institute CentER, Tilburg University

Main research interests

1. Survival/duration analysis (cure models, dependent censoring, ...)

2. Measurement error problems

3. Quantile regression

4. Non- and semiparametric regression

5. Mathematical statistics

6. Instrumental variables, endogeneity, frontier models in econometrics


2 Publications

Published papers

159. Beyhum, J., Florens, J.-P. and Van Keilegom, I. (2021). Instrumental variables in

duration models. J. Bus. Econ. Statist. (to appear).

158. Jeon, J.M., Park, B. and Van Keilegom, I. (2021). Additive regression for predictors

of various natures and possibly incomplete Hilbertian responses. Electr. J. Statist (to

appear).

157. Han, B., Van Keilegom, I. and Wang, X. (2021). Semiparametric estimation of the

non-mixture cure model with auxiliary survival information. Biometrics (to appear).

156. Kloodt, N., Neumeyer, N. and Van Keilegom, I. (2021). Specification testing in semi-

parametric transformation models. TEST (to appear).

155. Jeon, J.M., Park, B.U. and Van Keilegom, I. (2021). Additive regression for non-

Euclidean responses and predictors. Ann. Statist. (to appear).

154. Delaigle, A. and Van Keilegom, I. (2021). Deconvolution with unknown error distri-

bution. In: Yi, G., Delaigle, A. and Gustafson, P. (eds.), Handbook on Measurement

Error Models, CRC (to appear).

153. Conde-Amboage, M., Van Keilegom, I. and Gonzalez-Manteiga, W. (2021). A new lack-

of-fit test for quantile regression with censored data. Scand. J. Statist. (to appear).

152. Escobar-Bach, M., Maller, R., Van Keilegom, I. and Zhao, M. (2021). Estimation of

the cure rate for distributions in the Gumbel maximum domain of attraction under

insufficient follow-up. Biometrika (to appear).

151. Molenberghs, G., Buyse, M., Hens, N., Beutels, P., Faes, C., Verbeke, G., Van Damme,

P., Goossens, H., Neyens, T., Abrams, S., Theeten, H., Pepermans, K., Alonso Abad, A.,

Van Keilegom, I., Speybroeck, N., Legrand, C., De Buyser, S. and Hulstaert, F. (2021).

Infectious diseases epidemiology, quantitative methodology, and clinical research in the

midst of the COVID-19 pandemic: Perspective from a European country. Controlled

Clinical Trials (to appear).

150. Deresa, N. and Van Keilegom, I. (2021). On semiparametric modelling, estimation and

inference for survival data subject to dependent censoring. Biometrika (to appear).


149. Amico, M., Van Keilegom, I. and Han, B. (2021). Assessing cure status prediction from

survival data using receiver operating characteristic curves. Biometrika (to appear).

148. Bucher, A., El Ghouch, A. and Van Keilegom, I. (2021). Single-index quantile regression

models for censored data. In: Daouia, A. and Ruiz-Gazen, A. (eds.), Advances in

Contemporary Statistics and Econometrics, Springer (to appear).

147. de Una Alvarez, J. and Van Keilegom, I. (2021). Efron-Petrosian integrals for doubly

truncated data with covariates: an asymptotic analysis. Bernoulli, 27, 249-273.

146. Noh, H. and Van Keilegom, I. (2020). On relaxing the distributional assumption of

stochastic frontier models. J. Korean Statist. Soc., 49, 1-14.

145. Chown, J., Heuchenne, C. and Van Keilegom, I. (2020). The nonparametric location-

scale mixture cure model. TEST, 29, 1008-1028.

144. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2020). Linear censored quantile

regression: a novel minimum-distance approach. Scand. J. Statist., 47, 1275-1306.

143. Deresa, N.W. and Van Keilegom, I. (2020). A multivariate normal regression model for

survival data subject to different types of dependent censoring. Comp. Statist. Data

Anal., 106879.

142. Racine, J. and Van Keilegom, I. (2020). A smooth nonparametric, multivariate, mixed-

data location-scale test. J. Bus. Econ. Statist., 38, 784-795.

141. Geerdens, C., Janssen, P. and Van Keilegom, I. (2020). Goodness-of-fit test for a

parametric survival function with cure fraction. TEST, 29, 768-792.

140. Zhao, Y., Gijbels, I. and Van Keilegom, I. (2020). Inference for semiparametric Gaussian

copula model adjusted for linear regression using residual ranks. Bernoulli, 26, 2815-

2846.

139. Patilea, V. and Van Keilegom, I. (2020). A general approach for cure models in survival

analysis. Ann. Statist., 48, 2323-2346.

138. Lopez-Cheda, A., Jacome-Pumar, A., Van Keilegom, I. and Cao, R. (2020). Nonpara-

metric covariate hypothesis tests for the cure rate in mixture cure models. Statist. Med.,

39, 2291-2307.

137. Florens, J.-P., Simar, L. and Van Keilegom, I. (2020). Estimation of the boundary of a

variable observed with symmetric error. J. Amer. Statist. Assoc., 115, 425-441.

136. Deresa, N.W. and Van Keilegom, I. (2020). Flexible parametric model for survival data

subject to dependent censoring. Biometr. J., 62, 136-156.


135. Delsol, L. and Van Keilegom, I. (2020). Semiparametric M-estimation with non-smooth

criterion functions. Ann. Inst. Statist. Math., 72, 577-605.

134. Bravo, F., Escanciano, J.C. and Van Keilegom, I. (2020). Two-step semiparametric

empirical likelihood inference. Ann. Statist., 48, 1-26.

133. Colling, B. and Van Keilegom, I. (2020). Estimation of a semiparametric transformation

model : a novel approach based on least squares minimization. Electr. J. Statist., 14,

769-800.

132. Escobar-Bach, M. and Van Keilegom, I. (2019). Non-parametric cure rate estimation

under insufficient follow-up using extremes. J. Roy. Statist. Soc. - Series B, 81,

861-880.

131. Colling, B. and Van Keilegom, I. (2019). Estimation of fully nonparametric transforma-

tion models. Bernoulli, 25, 3762-3795.

130. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2019). An adapted loss function

for censored quantile regression. J. Amer. Statist. Assoc., 114, 1126-1137.

129. Neumeyer, N. and Van Keilegom, I. (2019). Bootstrap of residual processes in regression:

to smooth or not to smooth ? Biometrika, 106, 385-400.

128. Amico, M., Van Keilegom, I. and Legrand, C. (2019). The single-index / Cox mixture

cure model. Biometrics, 75, 452-462.

127. Bertrand, A., Van Keilegom, I. and Legrand, C. (2019). Flexible parametric approach

to classical measurement error variance estimation without auxiliary data. Biometrics,

75, 297-307.

126. Mammen, E., Van Keilegom, I. and Yu, K. (2019). Expansion for moments of regression

quantiles with applications to nonparametric testing. Bernoulli, 25, 793-827.

125. Muller, U. and Van Keilegom, I. (2019). Goodness-of-fit tests for the cure rate in a

mixture cure model. Biometrika, 106, 211-227.

124. Vanhems, A. and Van Keilegom, I. (2019). Estimation of a semiparametric transforma-

tion model in the presence of endogeneity. Econometric Theory, 35, 73-110.

123. Wang, L., Van Keilegom, I. and Maidman, A. (2018). Wild residual bootstrap inference

for penalized quantile regression with heteroscedastic errors. Biometrika, 105, 859-872.

122. Hjort, N., McKeague, I. and Van Keilegom, I. (2018). Hybrid combinations of parametric

and empirical likelihoods. Statist. Sinica, 28, 2389-2407.


121. Sujica, A. and Van Keilegom, I. (2018). The copula-graphic estimator in censored

nonparametric location-scale regression models. Econom. Statist., 7, 89-114.

120. Escanciano, J.C., Pardo-Fernandez, J.C. and Van Keilegom, I. (2018). Asymptotic

distribution-free tests for semiparametric regressions with dependent data. Ann. Statist.,

46, 1167-1196.

119. Feve, F., Florens, J.-P. and Van Keilegom, I. (2018). Estimation of conditional ranks

and tests of exogeneity in nonparametric nonseparable models. J. Bus. Econ. Statist.,

36, 334-345.

118. Amico, M. and Van Keilegom, I. (2018). Cure models in survival analysis. Ann. Rev.

Statist. Applic., 5, 311-342.

117. Florens, J., Horowitz, J. and Van Keilegom, I. (2017). Bias-corrected confidence inter-

vals in a class of linear inverse problems. Ann. Econ. Statist., 128, 203-228.

116. Birke, M., Van Bellegem S. and Van Keilegom, I. (2017). Semi-parametric estimation

in a single-index model with endogenous variables. Scand. J. Statist., 44, 168-191.

115. Talamakrouni, M., El Ghouch, A. and Van Keilegom, I. (2017). Parametrically guided

local quasi-likelihood with censored data. Electr. J. Statist., 11, 2773-2799.

114. Colling, B. and Van Keilegom, I. (2017). Goodness-of-fit tests in semiparametric trans-

formation models using the integrated regression function. J. Multiv. Anal., 160,

10-30.

113. Bertrand, A., Legrand, C., Leonard, D. and Van Keilegom, I. (2017). Robustness of

estimation methods in a survival cure model with mismeasured covariates. Comput.

Statist. Data Anal., 113, 3-18.

112. Simar, L., Van Keilegom, I. and Zelenyuk, V. (2017). Nonparametric least squares

methods for stochastic frontier models. J. Product. Anal., 47, 189-204.

111. Portier, F., El Ghouch, A. and Van Keilegom, I. (2017). Efficiency and bootstrap in the

promotion time cure model. Bernoulli, 23, 3437-3468.

110. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2017). Semiparametric copula

quantile regression for complete or censored data. Electr. J. Statist., 11, 1660-1698.

109. Bertrand, A., Legrand, C., Carroll, R., de Meester, C. and Van Keilegom, I. (2017).

Inference in a survival cure model with mismeasured covariates using a SIMEX approach.

Biometrika, 104, 31-50.


108. Escanciano, J.C., Pardo-Fernandez, J.C. and Van Keilegom, I. (2017). Semiparametric

estimation of risk-return relationships. J. Bus. Econ. Statist. 35, 40-52.

107. Lopez-Cheda, A., Cao, R., Jacome, M.A. and Van Keilegom, I. (2017). Nonparametric

incidence estimation and bootstrap bandwidth selection in mixture cure models. Comp.


106. Garcıa-Portugues, E., Van Keilegom, I., Crujeiras R.M. and Gonzalez-Manteiga, W.

(2016). Testing parametric models in linear-directional regression. Scand. J. Statist.,

43, 1178-1191.

105. Neumeyer, N., Noh, H. and Van Keilegom, I. (2016). Heteroscedastic semiparametric

transformation models: estimation and testing for validity. Statist. Sinica, 26, 925-954.

104. Colling, B. and Van Keilegom, I. (2016). Goodness-of-fit tests in semiparametric trans-

formation models. TEST, 25, 291-308.

103. Gonzalez Manteiga, W., Martınez Miranda, M.D. and Van Keilegom, I. (2016). Goodness-

of-fit test in parametric mixed-effects models based on the estimation of the error dis-

tribution. Biometrika, 103, 133-146.

102. Simar, L., Vanhems, A. and Van Keilegom, I. (2016). Unobserved heterogeneity and

endogeneity in nonparametric frontier estimation. J. Econometrics, 190, 360-373.

101. Talamakrouni, M., Van Keilegom, I. and El Ghouch, A. (2016). Parametrically guided

nonparametric density and hazard estimation with censored data. Comput. Statist.

Data Anal., 93, 308-323.

100. Sujica, A. and Van Keilegom, I. (2015). Estimation of location and scale functionals in

nonparametric regression under copula dependent censoring. Canad. J. Statist., 43,

306-335.

99. Heuchenne, C., Samb, R. and Van Keilegom, I. (2015). Estimating the error distribution

in semiparametric transformation models. Electr. J. Statist., 9, 2391-2419.

98. Noh, H., El Ghouch, A. and Van Keilegom, I. (2015). Semiparametric conditional

quantile estimation through copula-based multivariate models. J. Bus. Econ. Statist.,

33, 167-178.

97. Talamakrouni, M., El Ghouch, A. and Van Keilegom, I. (2015). Guided censored regres-

sion. Scand. J. Statist., 42, 214-233.

96. Colling, B., Heuchenne, C., Samb, R. and Van Keilegom, I. (2015). Estimation of the

error density in a semiparametric transformation model. Ann. Inst. Statist. Math.,

67, 1-18.


95. Kneip, L., Simar, L. and Van Keilegom, I. (2015). Frontier estimation in the presence

of measurement error with unknown variance. J. Econometrics, 184, 379-393.

94. Pardo-Fernandez, J.C., Rodrıguez-Alvarez, M.X. and Van Keilegom, I. (2014). A review

on ROC curves in the presence of covariates. RevStat, 12, 21-41.

93. Moreira, C., de Una-Alvarez, J. and Van Keilegom, I. (2014). Goodness-of-fit tests

for a semiparametric model under random double truncation. Comput. Statist., 29,

1365-1379.

92. Muller, U.U. and Van Keilegom, I. (2014). Efficient quantile regression with auxiliary

information. In : Lahiri, S., Schick, A., SenGupta, A. and Sriram, T.N. (eds.), Contem-

porary developments in statistical theory - Festschrift for H. Koul, Springer, 365-374.

91. Yang, S.J., El Ghouch, A. and Van Keilegom, I. (2014). Varying coefficient models

having different smoothing variables with randomly censored data. Electr. J. Statist.,

8, 226-252.

90. Heuchenne, C., Laurent, S., Legrand, C. and Van Keilegom, I. (2014). Likelihood based

inference for semi-competing risks. Commun. Statist. - Simul. Comput., 43, 1112-

1132.

89. Florens, J.-P., Simar, L. and Van Keilegom, I. (2014). Frontier estimation in nonpara-

metric location-scale models. J. Econometrics, 178, 456-470.

88. Meira-Machado, L., Roca-Pardinas, J., Van Keilegom, I. and Cadarso-Suarez, C. (2013).

Estimation of transition probabilities in a non-Markov model with successive survival

time. Comput. Statist., 28, 2185-2210.

87. Van Keilegom. I. (2013). Discussion on: ‘An updated review of Goodness-of-Fit tests

for regression models’ by W. Gonzalez-Manteiga and R. Crujeiras. TEST, 22, 428-431.

86. Chen, S.X. and Van Keilegom, I. (2013). Estimation in semiparametric models with

missing data. Ann. Inst. Statist. Math., 65, 785-805.

85. Lopez, O., Patilea, V. and Van Keilegom, I. (2013). Single index regression models in

the presence of censoring depending on the covariates. Bernoulli, 19, 721-747.

84. Schwarz, M., Jongbloed, G. and Van Keilegom, I. (2013). On the identifiability of

copulas in bivariate competing risks models. Canad. J. Statist., 41, 291-303.

83. Van Keilegom, I. (2013). Discussion on: ‘Model-free model-fitting and predictive distri-

butions’ by D. Politis. TEST, 22, 234-236.


82. Moreira, C. and Van Keilegom, I. (2013). Bandwidth selection for kernel density esti-

mation with doubly truncated data. Comput. Statist. Data Anal., 61, 107-123.

81. Rotolo, F., Legrand, C. and Van Keilegom, I. (2013). Simulation of clustered multi-state

survival data based on a copula model. Comp. Meth. Progr. Biomedic. 109, 305-312.

80. Dahlke, M., Breidt, F.J., Opsomer, J.D. and Van Keilegom, I. (2013). Nonparametric

endogenous post-stratification estimation. Statist. Sinica, 23, 189-211.

79. Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Quality of fit measures in the

framework of quantile regression. Scand. J. Statist., 40, 105-118.

78. Wei, J., Carroll, R.J., Muller, U.U., Van Keilegom, I. and Chatterjee, N. (2013). Robust

estimation for homoscedastic regression in the secondary analysis of case-control data.

J. Royal Statist. Soc. - Series B, 75, 185-206.

77. Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Assessing model adequacy in

possibly misspecified quantile regression. Comput. Statist. Data Anal., 57, 558-569.

76. Noh, H. and Van Keilegom, I. (2012). Efficient model selection in semivarying coefficient

models. Electr. J. Statist., 6, 2519-2534.

75. Van Keilegom, I. (2012). Discussion on: ‘Probabilistic index models’ by O. Thas, J. De

Neve, L. Clement and J.-P. Ottoy. J. Royal Statist. Soc. - Series B, 74, 654.

74. Peng, L., Qi, Y. and Van Keilegom, I. (2012). Jackknife empirical likelihood method for

copulas. TEST, 21, 74-92.

73. Noh, H., Chung, K. and Van Keilegom, I. (2012). Variable selection of varying coefficient

models in quantile regression. Electr. J. Statist., 6, 1220-1238.

72. Muller, U.U. and Van Keilegom, I. (2012). Efficient parameter estimation in regression

with missing responses. Electr. J. Statist., 6, 1200-1219.

71. Ferraty, F., Van Keilegom, I. and Vieu, P. (2012). Regression when both response and

predictor are functions. J. Multiv. Anal., 109, 10-28.

70. Heuchenne, C. and Van Keilegom, I. (2012). Estimation of a general parametric location

in censored regression. In : Van Keilegom, I. and Wilson, P.W. (eds.), Exploring

research frontiers in contemporary statistics and econometrics - Festschrift in honor

of L. Simar, Springer, 177-187.

69. Van Keilegom, I. (2011). Donnees censurees. In : Droesbeke, J.-J. and Saporta, G.

(eds.), Approches nonparametriques en regression, Paris: Editions TECHNIP, 235-251.


68. Varron, D. and Van Keilegom, I. (2011). Uniform in bandwidth exact rates for a class

of kernel estimators. Ann. Inst. Statist. Math., 63, 1077-1102.

67. Van Keilegom, I. and Veraverbeke, N. (2011). Discussion on ‘Statistical models and

methods for dependence in insurance data’ by S. Haug, C. Kluppelberg and L. Peng. J.

Korean Statist. Soc., 40, 155-157.

66. Gonzalez Manteiga, W., Pardo Fernandez, J.C. and Van Keilegom, I. (2011). ROC

curves in nonparametric location-scale regression models. Scand. J. Statist., 38, 169-

184.

65. Linton, O., Mammen, E., Nielsen, J.P. and Van Keilegom, I. (2011). Nonparametric

regression with filtered data. Bernoulli, 17, 60-87.

64. Van Keilegom, I., de Una-Alvarez, J. and Meira-Machado, L. (2011). Nonparametric

location-scale models for censored successive survival times. J. Statist. Plann. Infer.,

141, 1118-1131.

63. El Ghouch, A., Van Keilegom, I. and McKeague, I. (2011). Empirical likelihood confi-

dence intervals for dependent duration data. Econometric Theory, 27, 178-198.

62. Heuchenne, C. and Van Keilegom, I. (2010). Goodness-of-fit tests for the error distri-

bution in nonparametric regression. Comput. Statist. Data Anal., 54, 1942-1951.

61. Molanes Lopez, E.M., Cao, R. and Van Keilegom, I. (2010). Smoothed empirical like-

lihood confidence intervals for the relative distribution with left truncated and right

censored data. Canad. J. Statist., 38, 453-473.

60. Teodorescu, B. and Van Keilegom, I. (2010). Goodness-of-fit test in generalized condi-

tional linear models under left truncation and right censoring. J. Nonpar. Statist., 22,

547-566.

59. Ferraty, F., Van Keilegom, I. and Vieu, P. (2010). On the validity of the bootstrap in

nonparametric functional regression. Scand. J. Statist., 37, 286-306.

58. Teodorescu, B., Van Keilegom, I. and Cao, R. (2010). Generalized conditional linear

models under left truncation and right censoring. Ann. Inst. Statist. Math., 62,

465-485.

57. Heuchenne, C. and Van Keilegom, I. (2010). Estimation in nonparametric location-scale

regression models with censored data. Ann. Inst. Statist. Math., 62, 439-464.

56. Crujeiras, R.M. and Van Keilegom, I. (2010). Least squares estimation of nonlinear

spatial trends. Comput. Statist. Data Anal., 54, 452-465.


55. Neumeyer, N. and Van Keilegom, I. (2010). Estimating the error distribution in non-

parametric multiple regression with applications to model testing. J. Multiv. Anal.,

101, 1067-1078.

54. Van Keilegom, I. and Wang, L. (2010). Semiparametric modeling and estimation of

heteroscedasticity in regression analysis of cross-sectional data. Electr. J. Statist., 4,

133-160.

53. Braekers, R. and Van Keilegom, I. (2009). Flexible modeling based on copulas in non-

parametric regression. J. Multiv. Anal., 6, 1270-1281.

52. Chen, S.X. and Van Keilegom, I. (2009). A goodness-of-fit test for parametric and

semiparametric models in multiresponse regression. Bernoulli, 15, 955-976.

51. Chen, S.X. and Van Keilegom, I. (2009). Rejoinder on : A review on empirical likelihood

methods for regression. TEST, 18, 468-474.

50. Chen, S.X. and Van Keilegom, I. (2009). A review on empirical likelihood methods for

regression. TEST, 18, 415-447.

49. El Ghouch, A. and Van Keilegom, I. (2009). Local linear quantile regression with de-

pendent censored data. Statist. Sinica, 19, 1621-1640.

48. Dette, H., Pardo-Fernandez, J.C. and Van Keilegom, I. (2009). Goodness-of-fit tests

for multiplicative models with dependent data. Scand. J. Statist., 36, 782-799.

47. Hall, P. and Van Keilegom, I. (2009). Nonparametric “regression” when errors are

positioned at endpoints. Bernoulli, 15, 614-633.

46. Neumeyer, N. and Van Keilegom, I. (2009). Change-point tests for the error distribution

in nonparametric regression. Scand. J. Statist., 36, 518-541.

45. Molanes-Lopez, E., Van Keilegom, I. and Veraverbeke, N. (2009). Empirical likelihood

for non-smooth criterion functions. Scand. J. Statist., 36, 413-432.

44. Hjort, N.L., McKeague, I.W. and Van Keilegom, I. (2009). Extending the scope of

empirical likelihood. Ann. Statist., 37, 1079-1111.

43. Ojeda-Cabrera, J. and Van Keilegom, I. (2009). Goodness-of-fit tests for parametric

regression with selection biased data. J. Statist. Plann. Infer., 139, 2836-2850.

42. Wang, L., Akritas, M.G. and Van Keilegom, I. (2008). An ANOVA-type nonparametric

diagnostic test for heteroscedastic regression models. J. Nonparam. Statist., 20, 365-

382.


41. Van Keilegom, I., Gonzalez Manteiga, W. and Sanchez Sellero, C. (2008). Goodness-

of-fit tests in parametric regression based on the estimation of the error distribution.

TEST, 17, 401-415.

40. El Ghouch, A. and Van Keilegom, I. (2008). Nonparametric regression with dependent

censored data. Scand. J. Statist., 35, 228-247.

39. Einmahl, J. and Van Keilegom, I. (2008). Tests for independence in nonparametric

regression. Statist. Sinica, 18, 601-616.

38. Van Keilegom, I., Sanchez Sellero, C. and Gonzalez Manteiga, W. (2008). Empirical

likelihood based testing for regression Electr. J. Statist., 2, 581-604.

37. Linton, O., Sperlich, S. and Van Keilegom, I. (2008). Estimation of a semiparametric

transformation model. Ann. Statist., 36, 686-718.

36. Einmahl, J. and Van Keilegom, I. (2008). Specification tests in nonparametric regression.

J. Econometrics, 143, 88-102.

35. Dette, H., Neumeyer, N. and Van Keilegom, I. (2007). A new test for the parametric

form of the variance function in nonparametric regression. J. Royal Statist. Soc. -

Series B, 69, 903-917.

34. Hall, P. and Van Keilegom, I. (2007). Two-sample tests in functional data analysis

starting from discrete data. Statist. Sinica, 17, 1511-1532.

33. Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W. (2007). Goodness-

of-fit tests for parametric models in censored regression. Canad. J. Statist., 35, 249-

264.

32. Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W. (2007). Testing

for the equality of k regression curves. Statist. Sinica, 17, 1115-1137.

31. Heuchenne, C. and Van Keilegom, I. (2007). Nonlinear regression with censored data.

Technometrics, 49, 34-44.

30. Heuchenne, C. and Van Keilegom, I. (2007). Location estimation in nonparametric

regression with censored data. J. Multiv. Anal., 98, 1558-1582.

29. Van Keilegom, I. and Carroll, R.J. (2007). Backfitting versus profiling in general criterion

functions. Statist. Sinica, 17, 797-816.

28. Heuchenne, C. and Van Keilegom, I. (2007). Polynomial regression with censored data

based on preliminary nonparametric estimation. Ann. Instit. Statist. Math., 59, 273-

298.


27. Wang, L. and Van Keilegom, I. (2007). Nonparametric test for the form of parametric

regression with time series errors. Statist. Sinica, 17, 369-386.

26. Denuit, M., Purcaru, O. and Van Keilegom, I. (2006). Bivariate Archimedean copula

models for censored data in non-life insurance. J. Actuar. Pract., 13, 5-32.

25. Pardo-Fernandez, J.C. and Van Keilegom, I. (2006). Comparison of regression curves

with censored responses. Scand. J. Statist., 33, 409-434.

24. Cao, R. and Van Keilegom, I. (2006). Empirical likelihood tests for two-sample problems

via nonparametric density estimation. Canad. J. Statist., 34, 61-77.

23. Sanchez Sellero, C., Gonzalez Manteiga, W. and Van Keilegom, I. (2005). Uniform

representation of product-limit integrals with applications. Scand. J. Statist., 32, 563-

581.

22. Brouhns, N., Denuit, M. and Van Keilegom, I. (2005). Bootstrapping the Poisson

log-bilinear model for mortality forecasting. Scand. Actuar. J., 212-224.

21. Hall, P. and Van Keilegom, I. (2005). Testing for monotone increasing hazard rate.

Ann. Statist., 33, 1109-1137.

20. Van Keilegom, I. (2004). A note on the nonparametric estimation of the bivariate

distribution under dependent censoring. J. Nonpar. Statist., 16, 659-670.

19. Chen, X., Linton, O. and Van Keilegom, I. (2003). Estimation of semiparametric models

when the criterion function is not smooth. Econometrica, 71, 1591-1608.

18. Claeskens, G. and Van Keilegom, I. (2003). Bootstrap confidence bands for regression

curves and their derivatives. Ann. Statist., 31, 1852-1884.

17. Tilquin, P., Van Keilegom, I., Coppieters, W., Le Boulenge, E. and Baret, P.V. (2003).

Non-parametric interval mapping in half-sib designs : use of midranks to account for

ties. Genetical Research, 81, 221-228.

16. Du, Y., Akritas, M. G. and Van Keilegom, I. (2003). Nonparametric analysis of covari-

ance for censored data. Biometrika, 90, 269-287.

15. Akritas, M. G. and Van Keilegom, I. (2003). Estimation of the bivariate and marginal

distributions with censored data. J. Royal Statist. Soc. - Series B, 65, 457-471.

14. Hall, P. and Van Keilegom, I. (2003). Using difference-based methods for inference in

nonparametric regression with time-series errors. J. Royal Statist. Soc. - Series B, 65,

443-456.


13. Van Keilegom, I. and Veraverbeke, N. (2002). Density and hazard estimation in censored

regression models. Bernoulli, 8, 607-625.

12. Li, G. and Van Keilegom, I. (2002). Likelihood ratio confidence bands in nonparametric

regression with censored data. Scand. J. Statist., 29, 547-562.

11. Van Keilegom, I. and Hettmansperger, T. P. (2002). Inference on multivariate M -

estimators based on bivariate censored data. J. Amer. Statist. Assoc., 97, 328-336.

10. Van Keilegom, I. and Veraverbeke, N. (2001). Hazard rate estimation in nonparametric

regression with censored data. Ann. Inst. Statist. Math., 53, 730-745.

9. Akritas, M. G. and Van Keilegom, I. (2001). Nonparametric estimation of the residual

distribution. Scand. J. Statist., 28, 549-568.

8. Akritas, M. G. and Van Keilegom, I. (2001). Nonparametric ANCOVA methods for

heteroscedastic nonparametric regression models. J. Amer. Statist. Assoc., 96, 220-

232.

7. Van Keilegom, I., Akritas, M. G. and Veraverbeke, N. (2001). Estimation of the con-

ditional distribution in regression with censored data : a comparative study. Comput.


6. Van Keilegom, I. and Akritas, M. G. (2000). The least squares method in heteroscedastic

censored regression models. In : Asymptotics in Statistics and Probability, Ed. M.L.

Puri, VSP, 379-391.

5. Van Keilegom, I. and Akritas, M. G. (1999). Transfer of tail information in censored

regression models. Ann. Statist., 27, 1745-1784.

4. Van Keilegom, I. and Veraverbeke, N. (1998). Bootstrapping quantiles in a fixed design

regression model with censored data. J. Statist. Planning Inf., 69, 115-131.

3. Van Keilegom, I. and Veraverbeke, N. (1997). Weak convergence of the bootstrapped

conditional Kaplan-Meier process and its quantile process. Commun. Statist.-Theory

Meth., 26, 853-869.

2. Van Keilegom, I. and Veraverbeke, N. (1997). Estimation and bootstrap with censored

data in fixed design nonparametric regression. Ann. Inst. Statist. Math., 49, 467-491.

1. Van Keilegom, I. and Veraverbeke, N. (1996). Uniform strong convergence results for

the conditional Kaplan-Meier estimator and its quantiles. Commun. Statist.-Theory

Meth., 25, 2251-2265.


Papers under revision

4. Portier, F., Van Keilegom, I. and El Ghouch, A. On an extension of the promotion time

cure model (under revision for Ann. Statist.).

3. Zhao, Y., Gijbels, I. and Van Keilegom, I. Gaussian copulas adjusted for non- and semi-

parametric regression (under revision for Ann. Statist.).

2. Florez, A.J., Van Keilegom, I., Molenberghs, G. and Verhasselt, A. Quantile regres-

sion for longitudinal data via the multivariate generalized hyperbolic distribution (under

revision for Statist. Modelling).

1. Musta, E. and Van Keilegom, I. A simulation-extrapolation approach for the mixture

cure model with mismeasured covariates (under revision for Electr. J. Statist.).

Submitted papers

12. Fanjul-Hevia, A., Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W.

A test for comparing conditional ROC curves with multidimensional covariates.

11. Kreiss, A. and Van Keilegom, I. Semi-parametric estimation of incubation and generation

times by means of Laguerre polynomials.

10. Jeon, J.M., Park, B. and Van Keilegom, I. Nonparametric regression on Lie groups with

measurement errors.

9. Akca, E. and Van Keilegom, I. Estimation of the variance matrix in bivariate classical

measurement error models.

8. Parsa, M. and Van Keilegom, I. Accelerated failure time vs Cox proportional hazards

mixture cure models: David vs Goliath?

7. Musta, E., Patilea, V. and Van Keilegom, I. A presmoothing approach for estimation in

mixture cure models.

6. Gonzalez Manteiga, W., Martınez Miranda, M.D. and Van Keilegom, I. Goodness-of-fit

tests in proportional hazards models with random effects.

5. Oulhaj, A., Ahmed, L.A., Prattes, J., Suliman, A., Alsuwaidi, A.R., Al-Rifai, R.H., Sourij,

H. and Van Keilegom, I. The competing risk between in-hospital mortality and recovery:

A pitfall in COVID-19 survival analysis research.


4. Escobar-Bach, M. and Van Keilegom, I. Nonparametric estimation of conditional cure

models for heavy-tailed distributions and under insufficient follow-up.

3. Zhao, Y., Van Keilegom, I. and Ding, S. Envelopes for censored quantile regression.

2. Verhasselt, A., Florez, A.J., Van Keilegom, I. and Molenberghs, G. The impact of

incomplete data on quantile regression for longitudinal data.

1. Daouia, A. and Van Keilegom, I. A random locational M-estimation problem based on

the L2-Wasserstein distance.

Books

1. Van Keilegom, I. and Wilson, P.W. (2012). Exploring Research Frontiers in Contem-

porary Statistics and Econometrics - Festschrift in Honor of L. Simar. Springer,

New York.


3 Scientific presentations

Invited and keynote presentations

100. 8th Days of Econometrics for Finance (JEF2021) (virtual), 5-6 March 2021 : ‘Instru-

mental variables in duration models’ (keynote).

99. NESG 2020 conference (virtual), Tilburg, Netherlands, 15 May 2020 : ‘Estimation of

the boundary of a variable observed with symmetric error’.

98. XIV Congreso Galego de Estatıstica e Investigacion de Operacions, Vigo, Spain, 24-26

October 2019 : ‘On semiparametric modelling, estimation and inference for survival data

subject to dependent censoring’ (keynote).

97. 24th Workshop on Goodness-of-fit and change-point problems, Trento, Italy, 6-8 Septem-

ber 2019 : ‘Bootstrap of residual processes in regression: to smooth or not to smooth ?’.

96. 2019 Lifetime Data Science Conference, Pittsburgh, USA, 29 - 31 May 2019 : ‘A multi-

variate normal regression model for survival data subject to different types of dependent

censoring’.

95. Workshop on Incomplete Data, Hasselt University, Belgium, 11 January 2019 : ‘Flexible

parametric model for survival data subject to dependent censoring’.

94. CMStatistics conference 2018, Pisa, Italy, 14-16 December 2018 : ‘Goodness-of-fit tests

in proportional hazards models with random effects’.

93. CMStatistics conference 2018, Pisa, Italy, 14-16 December 2018 : ‘Flexible parametric

model for survival data subject to dependent censoring’.

92. Trondheim Symposium in Statistics, Trondheim, Norway, 28-29 September 2018 : ‘Flex-

ible parametric model for survival data subject to dependent censoring’.

91. Joint Statistical Meetings, Vancouver, Canada, 29 July - 2 August 2018 : ‘Estimation

of the boundary of a variable observed with symmetric error’.

90. Joint Statistical Meetings, Vancouver, Canada, 29 July - 2 August 2018 : ‘Goodness-

of-fit tests in proportional hazards models with random effects’.

89. 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Na-

tional University of Singapore, Singapore, 26-29 June 2018 : ‘Goodness-of-fit tests in

proportional hazards models with random effects’ (distinguished).


88. 4th Conference of the International Society of Nonparametric Statistics, Salerno, Italy,

11-15 June 2018 : ‘Goodness-of-fit tests in proportional hazards models with random

effects’.

87. 50th Anniversary of the Department of Statistics of Penn State University, USA, 8-10

May 2018 : ‘Estimation of the boundary of a variable observed with symmetric error’.

86. Closing workshop of the Research Unit FOR 1735 on “Structural Inference in Statistics:

Adaptation and Efficiency”, Berlin, Germany, 8-9 March 2018 : ‘Estimation of the

boundary of a variable observed with symmetric error’.

85. CMStatistics conference 2017, London, UK, 16-18 December 2017 : ‘Estimation of the

boundary of a variable observed with symmetric error’ (special invited).

84. First Spanish Young Statisticians and Operational Researchers Meeting (SYSORM),

Granada, Spain, 13-15 November 2017 : ‘Estimation of the boundary of a variable

observed with symmetric error’ (keynote).

83. Joint Statistical Meetings, Baltimore, USA, 30 July - 3 August 2017 : ‘Flexible para-

metric approach to classical measurement error variance estimation without auxiliary

data’.

82. 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong

University of Science and Technology, Hong Kong, 15-17 June 2017 : ‘Estimation in

measurement error problems under minimal conditions on the distribution of the signal

and the noise’ (special invited)

81. Meeting in Econometrics, Toulouse, France, 30 May - 1 June May 2017 : ‘Estimation in


and the noise’

80. 25th Anniversary of the Institute of Statistics, Biostatistics and Actuarial Sciences,

Louvain-la-Neuve, Belgium, 18-19 May 2017 : ‘In memory of Peter Hall’.

79. 9th International ERCIM Conference (CMStatistics 2016), Sevilla, Spain, 9-11 December

2016 : ‘The focused information criterion for a mixture cure model’

78. Leuven Statistics Days, Leuven, Belgium, 20-21 October 2016 : ‘The focused informa-

tion criterion for a mixture cure model’

77. Workshop on ‘Nonparametric Statistics : Integration of Theory, Methods and Appli-

cations’, University of Michigan, Ann Arbor, USA, 6-7 October 2016 : ‘The focused

information criterion for a mixture cure model’


76. Workshop on ‘Newest Developments and Urgent Issues in Measurement Error and Latent

Variable Problems’, Banff, Canada, 15-19 August 2016 : ‘Boundary estimation in the

presence of measurement error with unknown distribution’

75. Workshop on ‘Newest Developments and Urgent Issues in Measurement Error and Latent

Variable Problems’, Banff, Canada, 15-19 August 2016 : ‘Boundary estimation in the

presence of measurement error with unknown variance’

74. 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), The

Chinese University of Hong Kong, Hong Kong, 27-30 June 2016 : ‘Wilks’ phenomenon

in two-step semiparametric empirical likelihood inference’

73. 3rd Conference of the International Society of Nonparametric Statistics, Avignon, France,

11-16 June 2016 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood

inference’

72. Student Workshop at Toulouse School of Economics, France, 2 June 2016 : Discussion

of ‘Confidence sets in ill-posed models’ by Andrii Babii

71. Workshop on ‘Focused Information Criteria and Related Themes’, University of Oslo,

Norway, 9-11 May 2016 : ‘The focused information criterion for a mixture cure model’

70. Workshop at Aalto University, Finland, 7 April 2016 : ‘Wilks’ phenomenon in two-step

semiparametric empirical likelihood inference’

69. Workshop on ‘New Developments in Functional and Highly Multivariate Statistical

Methodology’, Oberwolfach, Germany, 22-26 February 2016 : ‘Wilks’ phenomenon in

two-step semiparametric empirical likelihood inference’

68. 8th International ERCIM Conference (CMStatistics 2015), London, UK, 12-14 December

2015 : ‘Testing parametric models in linear-directional regression’

67. Annual meeting of the Belgian Statistical Society, Antwerp, Belgium, 15-16 October

2015 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’

66. Conference on ‘Inverse Problems in Econometrics’, Northwestern University, USA, 2-3

October 2015 : ‘Frontier estimation in the presence of measurement error with unknown

variance’

65. 2nd Workshop on Goodness-of-fit and change-point problems, Athens, Greece, 4-6

September 2015 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood

inference’

64. 30th European Meeting of Statisticians, Amsterdam, Netherlands, 6-10 July 2015 :

‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’


63. Workshop on the Econometrics and Statistics of Efficiency Analysis: Recent Develop-

ments and Perspectives, Lecce, Italy, 20-21 June 2015 : ‘Frontier estimation in the

presence of measurement error with unknown variance’ (keynote)

62. Annual workshop of the IAP network in statistics, Brussels, Belgium, 24 November 2014 :

‘Dynamics of a stochastic system and the impact of non-observed characteristics’

61. Joint Statistical Meetings, Boston, USA, 3 - 7 August 2014 : ‘The focused information

criterion for a mixture cure model’

60. Joint Statistical Meetings, Boston, USA, 3 - 7 August 2014 : ‘Semiparametric condi-

tional quantile estimation through copula-based multivariate models’ (special invited)

59. ASC-IMS 2014 Conference, Sydney, Australia, 7-10 July 2014 : ‘Varying coefficient

models having different smoothing variables with randomly censored data’

58. Workshop on ‘Challenges and advances in analysis of complex high dimensional data’,

Taichung, Taiwan, 4-5 July 2014 : ‘Inference in a survival cure model with mismeasured

covariates using the SIMEX approach’

57. 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Taipei,

Taiwan, 30 June-3 July 2014 : ‘Varying coefficient models having different smoothing

variables with randomly censored data’

56. 2nd Conference of the International Society of Nonparametric Statistics, Cadiz, Spain,

12-16 June 2014 : ‘Varying coefficient models having different smoothing variables with

randomly censored data’

55. Conference on ‘Non and semiparametric econometrics’, University of York, 15-16 May

2014 : ‘Estimation of conditional ranks and tests of exogeneity in nonparametric non-

separable models’ (keynote)

54. 6th International ERCIM Conference, London, UK, 14-16 December 2013 : ‘The SIMEX

method for correcting the bias in a survival cure model with mismeasured covariates’

53. International Year of Statistics Conference, Luxembourg, 26-27 November 2013 : ‘The

SIMEX method for correcting the bias in a survival cure model with mismeasured co-

variates’ (keynote)

52. International Hexa-Symposium on Biostatistics, Bioinformatics, and Epidemiology, Has-

selt, Belgium, 14-15 November 2013 : ‘The SIMEX method for correcting the bias in a

survival cure model with mismeasured covariates’


51. Conference on ‘Applicable semiparametrics’, Humboldt Universitat Berlin, 11-12 Octo-

ber 2013 : ‘The SIMEX method for correcting the bias in a survival cure model with

mismeasured covariates’

50. 29th European Meeting of Statisticians, Budapest, Hungary, 20-25 July 2013 : ‘Estima-

tion of conditional ranks and tests of exogeneity in nonparametric nonseparable models’

49. Annual workshop of the IAP network in statistics, Leuven, Belgium, 28-29 March 2013 :

Introduction to ‘Dynamics of a stochastic system and the impact of non-observed char-

acteristics’

48. International Conference on ‘Statistics, science, and society: new challenges and op-

portunities’, Chennai, India, 2-5 January 2013 : ‘Semiparametric transformation model

with endogeneity: a control function approach’

47. Conference on ’Recent Developments in Econometrics’ for Celebrating the 65th Birth-

day of Jean-Pierre Florens, Toulouse, France, 28-29 September 2012 : ‘Estimation of

conditional ranks and tests of exogeneity in nonparametric nonseparable models’

46. 6th PhD Day of the Graduate School in Statistics, Biostatistics and Actuarial Sciences,

Louvain-la-Neuve, Belgium, 14 September 2012 : ‘Dos and don’ts in academic writing:

surviving the peer review process’

45. 20th International Conference on Computational Statistics (COMPSTAT), Limassol,

Cyprus, 27-31 August 2012 : ‘Identifiability of joint distributions in bivariate competing

risks models’

44. International Conference on Robust Statistics (ICORS), University of Vermont, Burling-

ton, USA, 5-10 August 2012 : ‘Quality of fit measures in the framework of quantile

regression’

43. Joint Statistical Meetings, San Diego, USA, 29 July - 2 August 2012 : ‘Identifiability of

joint distributions in bivariate competing risks models’

42. Waseda Statistical Symposium on Time Series and Related Topics, Waseda University,

Tokyo, Japan, 5-7 July 2012 : ‘Boundary estimation in the presence of measurement

error with unknown variance’

41. 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Tsukuba,

Japan, 2-4 July 2012 : ‘Semiparametric transformation model with endogeneity: a con-

trol function approach’

40. 8th International Purdue Symposium on Statistics, Purdue University, West Lafayette,

USA, 20-24 June 2012 : ‘Boundary estimation in the presence of measurement error

with unknown variance’


39. 1st Conference of the International Society for Nonparametric Statistics, Chalkidiki,

Greece, 15-19 June 2012 : ‘Boundary estimation in the presence of measurement error

with unknown variance’ (keynote)

38. 1st Joint Conference of the Belgian, Royal Spanish and Luxembourg Mathematical So-

cieties, Liege, Belgium, 6-8 June 2012 : ‘Estimation in nonparametric location-scale

models under dependent censoring’

37. 44e Journees de Statistique, Bruxelles, Belgium, 21-25 May 2012 : ‘Boundary estimation

in the presence of measurement error with unknown variance’ (keynote)

36. 4th International ERCIM Conference, London, UK, 17-19 December 2011 : ‘A nonpara-

metric test for risk-return relationships’

35. Joint Statistical Meetings, Miami Beach, USA, 30 July - 4 August 2011 : ‘Semi-

parametric estimation in a single index model with endogenous variables’

34. Conference on ‘Efficiency measurement: New methods and application to the food

sector’, Toulouse, France, 27-28 June 2011 : ‘Frontier estimation in nonparametric

location-scale models’

33. Graybill 2011 Conference on ‘Modern nonparametric methods’, Fort Collins, USA, 22-24

June 2011 : ‘Boundary estimation in the presence of measurement error with unknown

variance’ (keynote)

32. 14th Applied Stochastic Models and Data Analysis (ASMDA) conference, Rome, Italy,

6-10 June 2011 : ‘The copula-graphic estimator of the survival function under dependent

censoring with unknown copula’

31. International symposium on ‘Recent Advances in Statistics and Probability’ in honor of

Noel Veraverbeke, Hasselt, Belgium, 19-20 May 2011 : ‘The copula-graphic estimator

of the survival function under dependent censoring with unknown copula’

30. Stochastics Meeting Lunteren, The Netherlands, 15-17 November 2010 : ‘Z-estimation

in semiparametric statistics: general theory’ and ‘Z-estimation in semiparametric statis-

tics: applications in various fields’ (keynote)

29. Prague Stochastics 2010, Prague, Czech Republic, 30 August - 3 September 2010 :

‘Goodness-of-fit tests for multiplicative models with dependent data’

28. 23rd Nordic Conference on Mathematical Statistics (NORDSTAT), Voss, Norway, 14-17

June 2010 : ‘Goodness-of-fit tests for the relation between the regression function and

the scale function with dependent data’


27. Annual workshop of the IAP network in statistics, Leuven, Belgium, 19-20 November

2009 : ‘Univariate frontier estimation in the presence of measurement error’

26. The 57th Session of the International Statistical Institute, Durban, South Africa, 16-22

August 2009 : ‘Estimation in semiparametric models with missing data’

25. 27th European Meeting of Statisticians, Toulouse, France, 20-24 July 2009 : ‘Estimation

in semiparametric models with missing data’

24. First Institute of Mathematical Statistics Asia Pacific Rim Meeting, Seoul, South Korea,

28 June - 1 July 2009 : ‘Estimation in semiparametric models with missing data’

23. Workshop on ‘Semiparametric and Nonparametric Methods in Econometrics’, Banff,

Canada, 5-10 April 2009 : ‘Semiparametric modeling and estimation of the dispersion

function in regression’

22. ‘Celebration 20th Anniversary Master of Biostatistics’, Universiteit Hasselt, Belgium,

10-11 September 2008 : ‘Semiparametric modeling and estimation of the dispersion

function in regression’

21. Joint Meeting of the Statistical Society of Canada and the Societe Francaise de Statis-

tique, Ottawa, Canada, 25-29 May 2008 : ‘Empirical likelihood for non-smooth criterion

functions’

20. Workshop on ‘Reassessing the Paradigms of Statistical Model Building’, Oberwolfach,

Germany, 22-26 October 2007 : ‘Flexible modeling based on copulas in nonparametric

regression’

19. Joint Statistical Meetings, Salt Lake City, USA, 29 July-2 August 2007 : ‘A goodness-

of-fit test for parametric and semiparametric models in multiresponse regression’

18. ‘5e Journees de Statistique Fonctionnelle et Operatorielle’, Lille, France, 21-22 June

2007 : ‘On the use of the bootstrap in nonparametric functional regression’

17. Doctoral workshop in economics, Universite catholique de Louvain, Belgium, 25 May

2007 : Discussion of ‘The lagged duration dependence for young long-term unemployed

workers in Belgium’ by Matteo Picchio

16. First Joint Statistical Meeting of the ‘Deutsche Arbeitsgemeinschaft Statistik’, Biele-

feld, Germany, 27-30 March 2007 : ‘Change-point tests for the error distribution in

nonparametric regression’

15. Workshop on ‘Semiparametric and Nonparametric Methods in Econometrics’, Oberwol-

fach, Germany, 19-23 March 2007 : ‘Estimation of a semiparametric transformation

model’


14. Workshop on ‘Qualitative Assumptions and Regularization in High-Dimensional Statis-

tics’, Oberwolfach, Germany, 5-11 November 2006 : ‘A goodness-of-fit test for semi-

parametric models and models with shape constraints in multiresponse regression’

13. Workshop on ‘Nonparametric Statistics’, Rennes, France, 26-27 October 2006 : ‘Change-

point tests for the error distribution in nonparametric regression’

12. ‘Journees d’Etude en Statistique’ on ‘Nonparametric approaches in regression’, Marseille-

Luminy, France, 9-13 October 2006 : ‘Donnees censurees’

11. XXVI European Meeting of Statisticians, Torun, Poland, 24-28 July 2006 : ‘Estimation

of a semiparametric transformation model’

10. Workshop on ‘Specification testing’, Santander, Spain, 16-18 December 2005 : ‘Empir-

ical likelihood test for a class of regression models’

9. Workshop on ‘Statistische und Probabilistische Methoden der Modellwahl’, Oberwol-

fach, Germany, 16-22 October 2005 : ‘Tests for the variance function in nonparametric

regression’

8. International Seminar on Nonparametric Inference, La Coruna, Spain, 13-15 July 2005 :

‘Tests for the variance function in nonparametric regression’

7. Second International Statistics Workshop, Seoul, South-Korea, 15-16 June 2005 : ‘Back-

fitting versus profiling in general criterion functions’

6. Third Prague-Brussels Mathematical Statistics Seminar, Brussels, Belgium, 13-14 May

2005 : ‘Backfitting versus profiling in general criterion functions’

5. Joint Statistical Meetings, Toronto, Canada, 8-12 August 2004 : ‘Comparison of density

functions via empirical likelihood’

4. Conference in Probability Theory and Mathematical Statistics dedicated to the Centenary

of A. N. Kolmogorov, Tbilisi, Georgia, 21-27 September 2003 : ‘Empirical likelihood in

some non-standard settings’

3. International Conference on Current Advances and Trends in Nonparametric Statistics,

Crete, Greece, 15-19 July 2002 : ‘Confidence bands for regression curves and their

derivatives’

2. Tenth International Symposium on Applied Stochastic Models and Data Analysis, Compiegne,

France, 12-15 June 2001 : ‘Estimation of the bivariate and marginal distributions with

censored data’


1. European Young Statisticians Meeting 1995, Rotterdam, The Netherlands, 14-18 August

1995 : ‘A generalization of the Kaplan-Meier estimator and the bootstrap in censored

data regression’

Contributed presentations

15. 45e Journees de Statistique, Toulouse, France, 27-31 May 2013 : ‘Estimation of condi-

tional ranks and tests of exogeneity in nonparametric nonseparable models’

14. 28th European Meeting of Statisticians, Piraeus, Greece, 17-22 August 2010 : ‘Goodness-

of-fit tests for multiplicative models with dependent data’

13. 7th World Congress in Probability and Statistics, Singapore, 14-19 July 2008 : ‘Empirical

likelihood for non-smooth criterion functions’

12. 6th World Congress of the Bernoulli Society, Barcelona, Spain, 26-31 July 2004 : ‘Em-

pirical likelihood based goodness-of-fit testing for parametric regression’

11. Joint Statistical Meetings, San Francisco, U.S.A., 3-7 August 2003 : ‘Empirical likelihood

in some non-standard settings’

10. Workshop on Statistical Inference, Diepenbeek, Belgium, 10-12 April 2000 : ‘Likelihood

ratio confidence bands with censored data’

9. Annual meeting of the Belgian Statistical Society, Nieuwpoort, Belgium, 7-8 October

1999 : ‘Inference on the bivariate L1 median with censored data’

8. Joint Statistical Meetings, Baltimore, U.S.A., 8-12 August 1999 : ‘Nonparametric meth-

ods for analysis of covariance’

7. New Researchers Conference, Baltimore, U.S.A., 4-7 August 1999 : ‘Nonparametric esti-

mation of the conditional density and hazard under two regression models with censored

data’

6. 4th Hungarian Colloquium on Limit Theorems of Probability and Statistics, Balatonlelle,

Hungary, 28 June - 2 July 1999 : ‘Nonparametric estimation of the conditional density

and hazard under two regression models with censored data’

5. ISI-Satellite Meeting ‘Mathematical Statistics and its Applications to Biosciences’, Ros-

tock, Germany, 31 August - 4 September 1997 : ‘Estimation of the tail of the conditional

distribution in censored regression models’


4. Workshop ‘The Art of Nonparametric Statistics : Methodologies and Applications’,

Universite catholique de Louvain, Louvain-la-Neuve, Belgium, 19-21 February 1997 :

‘Transfer of tail information for censored regression models’ (poster)

3. 4th World Congress of the Bernoulli Society, Vienna, Austria, 26-31 August 1996 :

‘Asymptotic properties of a quantile estimator in a regression model with censored data’

2. Annual meeting of the Belgian Statistical Society, Houthalen, Belgium, 13-14 October

1995 : ‘The bootstrap in nonparametric regression with censored data’

1. Week of Doctoral Students 1995, Prague, Czech Republic, 18-22 September 1995 :

‘Nonparametric estimation and bootstrap in regression with censored data’

Seminars

130. Department of economics, University of Wisconsin, Madison, 19 March 2021 : ‘Instru-

mental variables in duration models’ (virtual)

129. Department of statistics, Instituto Technologico Autonomo de Mexico, 12 February

2021 : ‘On a semiparametric estimation method for AFT mixture cure models’ (virtual)

128. Toulouse School of Economics, University of Toulouse I, 15 September 2020 : ‘On a

semiparametric estimation method for AFT mixture cure models’ (virtual)

127. Weierstrass Institute & Humboldt-Universitat zu Berlin, 3 June 2020 : ‘On a semipara-

metric estimation method for AFT mixture cure models’ (virtual)

126. Department of mathematics, Technische Universitat Munchen, 11 March 2020 : ‘On a

semiparametric estimation method for AFT mixture cure models’

125. Department of statistics and actuarial science, Stellenbosch University, South Africa, 28

February 2020 : ‘On semiparametric modelling, estimation and inference for survival

data subject to dependent censoring’

124. School of mathematical and statistical sciences, University of Potchefstroom, South

Africa, 20 February 2020 : ‘On semiparametric modelling, estimation and inference for

survival data subject to dependent censoring’

123. Department of statistics, University of Santiago de Compostela, 10 December 2019 :

‘On a semiparametric estimation method for AFT mixture cure models’

122. CenStat, Universiteit Hasselt, 22 November 2019 : ‘On a semiparametric estimation

method for AFT mixture cure models’


121. Toulouse School of Economics, University of Toulouse I, 10 October 2019 : ‘Bootstrap

of residual processes in regression: to smooth or not to smooth ?’

120. Department of mathematics, University of Heidelberg, 26 September 2019 : ‘Bootstrap

of residual processes in regression: to smooth or not to smooth ?’

119. College of business and economics, Australian National University, Canberra, 8 February

2019 : ‘Flexible parametric model for survival data subject to dependent censoring’

118. School of mathematics and statistics, University of Melbourne, 30 January 2019 : ‘Flex-

ible parametric model for survival data subject to dependent censoring’

117. Department of statistics, Universitat Dortmund, 18 December 2018 : ‘Flexible paramet-

ric model for survival data subject to dependent censoring’

116. Department of economics, Carlos III University, Madrid, 19 November 2018 : ‘Estimation

in measurement error problems under minimal conditions on the distribution of the signal

and the noise’

115. Department of statistics, Carlos III University, Madrid, 16 November 2018 : ‘Flexible

parametric model for survival data subject to dependent censoring’

114. Toulouse School of Economics, University of Toulouse I, 9 October 2018 : ‘Flexible

parametric model for survival data subject to dependent censoring’

113. Department of mathematics, University of Oslo, 1 October 2018 : ‘Flexible parametric

model for survival data subject to dependent censoring’

112. Department of mathematics, University of Heidelberg, 4 May 2017 : ‘Estimation in


and the noise’

111. Department of statistics, University of Santiago de Compostela, 27 April 2017 : ‘Esti-

mation in measurement error problems under minimal conditions on the distribution of

the signal and the noise’

110. ORSTAT, KU Leuven, 30 March 2017 : ‘Estimation in measurement error problems

under minimal conditions on the distribution of the signal and the noise’

109. Department of economics, University of Bristol, 24 May 2016 : ‘The focused information

criterion for a mixture cure model’

108. Department of mathematics, Universite Libre de Bruxelles, 29 April 2016 : ‘Wilks’

phenomenon in two-step semiparametric empirical likelihood inference’


107. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 17

March 2016 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood in-

ference’

106. Department of statistics, University of Santiago de Compostela, 29 October 2015 :

‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’

105. Toulouse School of Economics, University of Toulouse I, 12 December 2014 : ‘Wilks’

phenomenon in two-step semiparametric empirical likelihood inference’

104. Toulouse School of Economics, University of Toulouse I, 2 December 2014 : ‘Semipara-

metric conditional quantile estimation through copula-based multivariate models’

103. Department of economics, University of Geneve, 14 November 2014 : ‘Semiparametric

conditional quantile estimation through copula-based multivariate models’

102. ENSAI, Rennes, 5 November 2014 : ‘Semiparametric conditional quantile estimation

through copula-based multivariate models’

101. ESSEC, Paris, 22 October 2014 : ‘Semiparametric conditional quantile estimation

through copula-based multivariate models’

100. Research institute CentER, Tilburg University, 28 May 2014 : ‘Estimation of conditional

ranks and tests of exogeneity in nonparametric nonseparable models’

99. CenStat, Universiteit Hasselt, 20 May 2014 : ‘Varying coefficient models having different

smoothing variables with randomly censored data’

98. Toulouse School of Economics, University of Toulouse I, 11 April 2014 : ‘The SIMEX

method for correcting the bias in a split population duration model with mismeasured

covariates’

97. Toulouse School of Economics, University of Toulouse I, 25 March 2014 : ‘Estimation

of conditional ranks and tests of exogeneity in nonparametric nonseparable models’

96. Department of economics, Yale University, 24 February 2014 : ‘Frontier estimation in

the presence of measurement error with unknown variance’

95. Department of economics, Yale University, 19 February 2014 : ‘Estimation of conditional


94. ENSAI, Rennes, 24 January 2014 : ‘Estimation of conditional ranks and tests of exo-

geneity in nonparametric nonseparable models’

93. Laboratoire EQUIPPE, Universite Lille 3, 22 November 2013 : ‘The SIMEX method for

correcting the bias in a survival cure model with mismeasured covariates’


92. Cass Business School, City University London, 20 November 2013 : ‘The SIMEX method

for correcting the bias in a survival cure model with mismeasured covariates’

91. Institute for Multidisciplinary Research in Quantitative Modelling and Analysis

(IMMAQ), Universite catholique de Louvain, 4 June 2013 : ‘Estimation of conditional


90. Department of statistics, University of Santiago de Compostela, 4 April 2013 : ‘Dos and

don’ts in academic writing: surviving the peer review process’

89. Department of mathematics, University of La Coruna, 3 April 2013 : ‘Estimation of

conditional ranks and tests of exogeneity in nonparametric nonseparable models’

88. Department of statistics, Purdue University, 7 March 2013 : ‘Estimation of conditional


87. Institute for Mathematical Stochastics, Georg August Universitat, Goettingen, 21 Novem-

ber 2012 : ‘Semiparametric transformation model with endogeneity: a control function

approach’

86. Department of mathematics, University of Hamburg, 30 October 2012 : ‘Frontier esti-

mation in nonparametric location-scale models’

85. Department of statistics, University of Santiago de Compostela, 12 April 2012 : ‘Esti-

mation in nonparametric location-scale models under dependent censoring’

84. Department of economics, University College London, 13 December 2011 : ‘Frontier

estimation in nonparametric location-scale models’

83. Department of statistics, London School of Economics, 9 December 2011 : ‘Boundary

estimation in the presence of measurement error with unknown variance’

82. Department of economics, Carlos III University, Madrid, 17 October 2011 : ‘Frontier

estimation in nonparametric location-scale models’

81. Statistical Laboratory, University of Cambridge, 7 October 2011 : ‘Boundary estimation

in the presence of measurement error with unknown variance’

80. Department of statistics, Universitat Dortmund, 15 March 2011 : ‘Semiparametric esti-

mation for dependent right-censoring with an unknown copula’

79. Department of economics and related studies, University of York, 1 December 2010 :

‘Nonparametric tests for risk-return relationships’


78. Department of mathematics, University of La Coruna, 5 November 2010 : ‘The copula-

graphic estimator of the survival function under dependent censoring with unknown

copula’

77. Toulouse School of Economics, University of Toulouse I, 14 September 2010 : ‘Goodness-

of-fit tests for multiplicative models with dependent data’

76. Department of statistics, University of Vigo, 23 July 2010 : ‘Goodness-of-fit tests for

multiplicative models with dependent data’

75. Department of economics, Indiana University, 23 February 2010 : ‘Univariate frontier

estimation in the presence of measurement error’

74. Department of statistics, Texas A&M University, 18 February 2010 : ‘Univariate frontier


73. Department of statistics, University of Mannheim, 14 December 2009 : ‘Univariate

frontier estimation in the presence of measurement error’

72. Department of statistics, Oxford University, 3 December 2009 : ‘Univariate frontier


71. Department of statistics, Universite de Paris VI, 23 November 2009 : ‘Univariate frontier


70. Department of statistics, University of Vigo, 18 September 2009 : ‘Univariate frontier


69. Department of statistics, Carlos III University, Madrid, 28 May 2009 : ‘Semiparametric

modeling and estimation of the dispersion function in regression’

68. Einaudi Institute for Economics and Finance (EIEF), Rome, 2 April 2009 : ‘Semipara-

metric modeling and estimation of the dispersion function in regression’

67. Guanghua School of Management, Peking University, 23 February 2009 : ‘Semiparamet-

ric modeling and estimation of the dispersion function in regression’

66. Institute of statistics, Universite catholique de Louvain, 21 November 2008 : ‘Semipara-

metric modeling and estimation of the dispersion function in regression’

65. Research institute CentER, Tilburg University, 12 November 2008 : ‘Semiparametric

modeling and estimation of the dispersion function in regression’

64. Department of statistics, University of Paul Sabatier, Toulouse, 14 October 2008 :

‘Empirical likelihood for non-smooth criterion functions’


63. Department of mathematics, University of Oslo, 19 August 2008 : ‘Empirical likelihood

for non-smooth criterion functions’

62. Department of statistics, Iowa State University, 12 November 2007 : ‘Flexible modeling

based on copulas in nonparametric regression’

61. Department of statistics, University of Mannheim, 26 September 2007 : ‘Flexible mod-

eling based on copulas in nonparametric regression’

60. Department of statistics, University of Santiago de Compostela, 12 June 2007 : ‘Esti-

mation of a semiparametric transformation model’

59. Department of statistics, University of Vigo, 6 June 2007 : ‘A goodness-of-fit test for

semiparametric models in multiresponse regression’

58. Department of statistics, University of Pau, 6 March 2007 : ‘Change-point tests for the

error distribution in nonparametric regression’

57. Department of statistics, University of Paul Sabatier, Toulouse, 5 March 2007 : ‘Change-

point tests for the error distribution in nonparametric regression’

56. Institute of statistics, University of Neuchatel, 19 December 2006 : ‘A goodness-of-fit

test for semiparametric models in multiresponse regression’

55. Department of mathematics, University of La Coruna, 10 July 2006 : ‘Change-point

tests for the error distribution in nonparametric regression’

54. Weierstrass Institute, Berlin, 5 July 2006 : ‘Estimation of a semiparametric transforma-

tion model’

53. ENSAI, Rennes, 10 March 2006 : ‘Estimation of a semiparametric transformation model’

52. Department of statistics, University of Vigo, 25 May 2006 : ‘Estimation of a semipara-

metric transformation model’

51. Department of biostatistics, Columbia University, 2 February 2006 : ‘Estimation of a

semiparametric transformation model’

50. Department of statistics, Iowa State University, 25 January 2006 : ‘Estimation of a


49. Department of statistics, University of Minneapolis, 19 January 2006 : ‘Estimation of a


48. Department of mathematics, University of Liege, 28 October 2005 : ‘Testing for the

variance function in nonparametric regression’


47. Department of mathematics, Charles University, Prague, 10 October 2005 : ‘Testing for

the variance function in nonparametric regression’

46. Institute of statistics, Aachen University, 5 July 2005 : ‘Backfitting versus profiling in

general criterion functions’

45. Department of mathematics, University of La Coruna, 5 April 2005 : ‘Backfitting versus

profiling in general criterion functions’

44. Department of statistics, University of Vigo, 30 March 2005 : ‘Backfitting versus profiling

in general criterion functions’

43. Center for statistics, Limburgs Universitair Centrum, 18 March 2005 : ‘Empirical likeli-

hood tests for two-sample problems via nonparametric density estimation’

42. Department of statistics, University of California at Davis, 27 January 2005 : ‘Empirical

likelihood tests for two-sample problems via nonparametric density estimation’

41. Department of mathematics, University of California at San Diego, 20 January 2005 :

‘Empirical likelihood tests for two-sample problems via nonparametric density estimation’

40. Research institute CentER, Tilburg University, 22 December 2004 : ‘Empirical likelihood

tests for two-sample problems via nonparametric density estimation’

39. Institute of statistics, Universite catholique de Louvain, 10 December 2004 : ‘Empirical


38. Department of Mathematics, Universite de Rennes I, 11 October 2004 : ‘Empirical


37. Department of Statistics, Universitat Dortmund, 6 July 2004 : ‘Empirical likelihood in

some non-standard settings’

36. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 12

March 2004 : ‘Extending the scope of empirical likelihood’

35. Department of statistics and operations research, University of Vigo, 3 February 2004 :

‘Goodness-of-fit tests in nonparametric regression’

34. Department of statistics and operations research, University of Santiago de Compostela,

29 January 2004 : ‘Empirical likelihood in some non-standard settings’

33. Department of mathematics, University of La Coruna, 14 January 2004 : ‘Goodness-of-

fit tests in nonparametric regression’


32. Department of economics, Carlos III University, Madrid, 9 January 2004 : ‘Goodness-

of-fit tests in nonparametric regression’

31. Institute of statistics and operations research, Universite Libre de Bruxelles, 14 November

2003 : ‘Empirical likelihood in some non-standard settings’

30. Research institute ECARES, Universite Libre de Bruxelles, 29 October 2003 : ‘Estimation

of semiparametric models when the criterion function is not smooth’

29. Department of applied economics, Katholieke Universiteit Leuven, 19 December 2002 :

‘Estimation of semiparametric models when the criterion function is not smooth’

28. Department of mathematics, University of La Coruna, 12 September 2002 : ‘Using

difference-based methods for inference in nonparametric regression with time-series er-

rors’

27. Department of statistics, University of Santiago de Compostela, 10 September 2002 :

‘Estimation of the bivariate and marginal distributions with censored data’

26. Department of mathematics, University of Oslo, 26 August 2002 : ‘Estimation of the

bivariate and marginal distributions with censored data’

25. Institute of statistics, Universite catholique de Louvain, 1 March 2002 : ‘Bootstrap

confidence bands for regression curves and their derivatives’

24. Centre for Mathematics and its Applications, Australian National University, 31 January

2002 : ‘Confidence bands for regression curves and their derivatives’

23. Research institute CentER, Tilburg University, 5 September 2001 : ‘Confidence bands

for regression curves and their derivatives’

22. Department of statistics, Pennsylvania State University, 17 April 2001 : ‘Likelihood ratio

confidence bands in nonparametric regression with censored data’

21. Department of statistics, University of Pittsburgh, 6 April 2001 : ‘Likelihood ratio con-

fidence bands in nonparametric regression with censored data’

20. Department of statistics, Carnegie Mellon University, 4 April 2001 : ‘Inference on mul-

tivariate M -estimators based on bivariate censored data’

19. Institute of statistics, Universite catholique de Louvain, 10 November 2000 : ‘ANCOVA

methods for heteroscedastic nonparametric regression models’

18. Department of economics, London School of Economics, 19 October 2000 : ‘ANCOVA

methods for heteroscedastic nonparametric regression models’


17. Department of biostatistics, Columbia University, 3 February 2000 : ‘Likelihood ratio

confidence bands in regression with censored data’

16. Research group of statistics, Technische Universiteit Eindhoven, 12 January 2000 : ‘Like-

lihood ratio confidence bands in regression with censored data’

15. Research group of statistics, Technische Universiteit Delft, 15 December 1999 : ‘Infer-

ence on the bivariate L1 median with censored data’

14. Research group of statistics, Universiteit Nijmegen, 15 April 1999 : ‘Nonparametric

ANCOVA methods for heteroscedastic nonparametric regression models’

13. Research group of data analysis, Universiteit Gent, 8 March 1999 : ‘Nonparametric

ANCOVA methods for heteroscedastic nonparametric regression models’

12. Department of statistics, Universiteit Gent, 30 November 1998 : ‘Estimation of the

conditional distribution, density and hazard function in censored regression models’

11. Department of statistics, Stanford University, 10 March 1998 : ‘The conditional distri-

bution in regression with censored data : a nonparametric approach’

10. Division of statistics, University of California, Davis, 5 March 1998 : ‘Nonparametric

estimation of the conditional distribution in regression with censored data’

9. Research group of statistics, Katholieke Universiteit Leuven, 18 February 1998 : ‘Non-

parametric estimation of the conditional distribution in regression with censored data’

8. Institute of statistics, Universite catholique de Louvain, 11 February 1998 : ‘The condi-

tional distribution in regression with censored data : a nonparametric approach’

7. Department of statistics, Pennsylvania State University, 5 February 1998 : ‘Nonpara-

metric estimation of the conditional distribution in regression with censored data’

6. Department of statistics, Michigan State University, 3 February 1998 : ‘The conditional

distribution in regression with censored data : a nonparametric approach’

5. Department of statistics, Ruhr-Universitat Bochum, 4 November 1997 : ‘Estimation of

the conditional distribution in censored heteroscedastic regression models with applica-

tions’

4. Department of statistics, Pennsylvania State University, 17 April 1997 : ‘Transferring

tail information for estimation in censored regression models’

3. Department of statistics, University of Pennsylvania, 11 April 1997 : ‘Estimation in

censored regression models via transfer of tail information’


2. Department of statistics, University of North Carolina, 4 April 1997 : ‘Estimation in

censored regression models via transfer of tail information’

1. Research group of statistics, Limburgs Universitair Centrum, 5 February 1997 : ‘Least

squares estimation for censored heteroscedastic regression models via transfer of tail

information’


4 Research visits abroad

(Research visits limited to the period starting from January 2004)

132. Department of Mathematics, Technische Universitat Munchen, 8-13 March 2020 (col-

laboration with C. Czado)

131. School of mathematical and statistical sciences, University of Potchefstroom, South

Africa, 15-29 February 2020 (collaboration with J. Allison and C. Pretorius)

130. ENSAI, Rennes, 3-6 February 2020 (collaboration with V. Patilea)

129. Toulouse School of Economics, University of Toulouse I, 28 January - 3 February 2020

(collaboration with J.-P. Florens)

128. Department of statistics, University of Santiago de Compostela, 9-13 December 2019

(collaboration with W. Gonzalez-Manteiga)

127. Department of statistics, University of Vigo, 23-30 October 2019 (collaboration with

J.C. Pardo-Fernandez and J. de Una-Alvarez)

126. Toulouse School of Economics, University of Toulouse I, 7-11 October 2019 (collabora-

tion with J.-P. Florens)

125. Department of mathematics, University of Heidelberg, 25-28 September 2019 (collabo-

ration with E. Mammen)

124. Department of mathematics, University of Hamburg, 22-25 September 2019 (collabora-

tion with N. Neumeyer)

123. Toulouse School of Economics, University of Toulouse I, 24-28 March 2019 (collaboration

with J.-P. Florens)

122. ENSAI, Rennes, 3-8 March 2019 (collaboration with V. Patilea)

121. College of business and economics, Australian National University, Canberra, 7-10 Febru-

ary 2019 (collaboration with R. Maller)

120. School of mathematics and statistics, University of Melbourne, 29 January - 7 February

2019 (collaboration with A. Delaigle)

119. Department of mathematics, University of Hamburg, 14-18 January 2019 (collaboration

with N. Neumeyer)


118. Department of statistics, University of Vigo, 9-13 December 2018 (collaboration with


117. Department of statistics, University of Vigo, 11-16 November 2018 (collaboration with


116. ENSAI, Rennes, 4-7 November 2018 (collaboration with V. Patilea)

115. Toulouse School of Economics, University of Toulouse I, 8-12 October 2018 (collabora-

tion with J.-P. Florens)

114. ENSAI, Rennes, 6-8 June 2018 (collaboration with V. Patilea)

113. Department of statistics, University of Minnesota, 2-7 May 2018 (collaboration with L.

Wang)

112. Department of mathematics, University of Copenhagen, 15-18 April 2018

111. Department of statistics, University of Granada, 2-5 April 2018 (collaboration with W.

Gonzalez-Manteiga and M.D. Martinez-Miranda)

110. Toulouse School of Economics, University of Toulouse I, 28 January - 3 February 2018


109. Department of mathematics, University of Hamburg, 3-7 December 2017 (collaboration

with N. Neumeyer)

108. Department of statistics, University of Granada, 12-18 November 2017 (collaboration

with M.D. Martinez-Miranda)

107. Toulouse School of Economics, University of Toulouse I, 24 September - 6 October 2017




105. Toulouse School of Economics, University of Toulouse I, 28 May - 3 June 2017 (collab-

oration with J.-P. Florens)

104. Department of mathematics, University of Heidelberg, 2-5 May 2017 (collaboration with

E. Mammen)

103. Department of statistics, University of Santiago de Compostela, 27-29 April 2017 (col-

laboration with W. Gonzalez-Manteiga)

102. Department of statistics, University of Vigo, 23-26 April 2017 (collaboration with J.C.

Pardo-Fernandez and J. de Una-Alvarez)


101. Toulouse School of Economics, University of Toulouse I, 26-28 February 2017 (collabo-

ration with J.-P. Florens)

100. Department of statistics, University of Granada, 12-14 December 2016 (collaboration

with W. Gonzalez-Manteiga and M.D. Martinez-Miranda)

99. Toulouse School of Economics, University of Toulouse I, 13-18 November 2016 (collab-


98. Toulouse School of Economics, University of Toulouse I, 13-16 September 2016 (collab-


97. Toulouse School of Economics, University of Toulouse I, 29 May-3 June 2016 (collabo-


96. Department of mathematics, University of Oslo, 29 March - 2 April 2016 (collaboration

with N. Hjort)


with J.-P. Florens)

94. Department of statistics, Texas A&M University, 16-23 January 2016 (collaboration with

U. Muller)

93. Toulouse School of Economics, University of Toulouse I, 15-20 November 2015 (collab-


92. Department of statistics, University of Santiago de Compostela, 27-31 October 2015

(collaboration with W. Gonzalez-Manteiga)


with J.-P. Florens)

90. ENSAI, Rennes, 9-13 March 2015 (collaboration with V. Patilea)

89. Toulouse School of Economics, University of Toulouse I, 18-23 January 2015 (collabo-


88. Toulouse School of Economics, University of Toulouse I, 16 November - 19 December

2014 (collaboration with J.-P. Florens)

87. ENSAI, Rennes, 28 October - 7 November 2014 (collaboration avec V. Patilea)

86. Department of mathematics, University of Oslo, 2-6 September 2014 (collaboration with

N. Hjort)


85. Toulouse School of Economics, University of Toulouse I, 17 March - 2 May 2014 (col-

laboration with J.-P. Florens)

84. Department of statistics, University of Vigo, 11-15 March 2014 (collaboration with J.C.

Pardo-Fernandez, J. de Una-Alvarez and C. Moreira)

83. Cowles Foundation, Yale University, 16 February - 1 March 2014 (collaboration with X.

Chen)

82. ENSAI, Rennes, 13-31 January 2014 (collaboration with V. Patilea)

81. ENSAI, Rennes, 2-7 December 2013 (collaboration with V. Patilea)



79. Department of economics, University of Mannheim, 16-20 June 2013 (collaboration with

E. Mammen)

78. Department of statistics, University of Santiago de Compostela, 31 March-6 April 2013

(collaboration with R. Crujeiras and W. Gonzalez-Manteiga)

77. Department of statistics, Purdue University, 4-16 March 2013 (collaboration with G.

Cheng)

76. Toulouse School of Economics, University of Toulouse I, 11-15 February 2013 (collabo-

ration with A. Vanhems)

75. Department of statistics, University of Vigo, 16-22 December 2012 (collaboration with

J.C. Pardo-Fernandez, J. de Una-Alvarez and C. Moreira)

74. Toulouse School of Economics, University of Toulouse I, 1-6 December 2012 (collabo-

ration with J.P. Florens and F. Feve)

73. Institute for Mathematical Stochastics, Georg August Universitat, Goettingen, 20-21

November 2012 (collaboration with A. Munk)

72. Department of mathematics, University of Hamburg, 28 October-1 November 2012

(collaboration with N. Neumeyer)

71. Toulouse School of Economics, University of Toulouse I, 22-27 July 2012 (collaboration

with J.P. Florens and F. Feve)

70. Department of statistics, University of Santiago de Compostela, 8-13 April 2012 (col-

laboration with W. Gonzalez Manteiga)


69. Toulouse School of Economics, University of Toulouse I, 1-6 April 2012 (collaboration

with J.P. Florens)

68. Department of economics, University of Bonn, 13-15 November 2011 (collaboration with

A. Kneip)


oration with J.P. Florens and A. Vanhems)

66. Department of statistics, University of Vigo, 21-24 July 2011 (collaboration with J.C.

Pardo-Fernandez and J. de Una-Alvarez)

65. Department of statistics, University of Santiago de Compostela, 17-21 July 2011 (col-


64. Toulouse School of Economics, University of Toulouse I, 11-16 April 2011 (collaboration

with J.P. Florens and A. Vanhems)

63. Department of mathematics, University of Bochum, 13-18 March 2011 (collaboration

with M. Birke)

62. Toulouse School of Economics, University of Toulouse I, 27 February-11 March 2011

(collaboration with J.P. Florens and A. Vanhems)

61. Department of economics, University of Mannheim, 23-28 January 2011 (collaboration

with E. Mammen)

60. Department of statistics, Texas A&M University, 9-18 December 2010 (collaboration

with R. Carroll and U. Muller)

59. Department of mathematics, University of La Coruna, 1-6 November 2010 (collaboration

with R. Cao)


oration with J.P. Florens, A. Vanhems and A. Daouia)

57. Department of statistics, University of Vigo, 22-24 July 2010 (collaboration with J.C.

Pardo-Fernandez)

56. Department of statistics, University of Santiago de Compostela, 18-21 July 2010 (col-


55. Toulouse School of Economics, University of Toulouse I, 4-14 July 2010 (collaboration

with J.P. Florens and A. Vanhems)


54. Department of mathematics and statistics, University of Cyprus, Nicosia, Cyprus, 23-26

June 2010

53. Department of economics, University of Bonn, 24-28 May 2010 (collaboration with A.

Kneip)

52. Toulouse School of Economics, University of Toulouse I, 21 March-20 April 2010 (col-

laboration with J.P. Florens and S. Van Bellegem)

51. Department of economics, Indiana University, 20-27 February 2010 (collaboration with

J.C. Escanciano)

50. Department of statistics, Texas A&M University, 14-20 February 2010 (collaboration

with R. Carroll and U. Muller)

49. Toulouse School of Economics, University of Toulouse I, 24 January-4 February 2010

(collaboration with J.P. Florens and S. Van Bellegem)

48. Department of economics, University of Mannheim, 13-18 December 2009 (collaboration

with E. Mammen)

47. Department of economics, University of Bonn, 1-4 November 2009 (collaboration with

A. Kneip)

46. Department of statistics, University of Paul Sabatier, Toulouse, 18-23 October 2009

(collaboration with P. Vieu and F. Ferraty)

45. Department of statistics, University of Vigo, 14-19 September 2009 (collaboration with

J.C. Pardo-Fernandez)

44. Toulouse School of Economics, Universite des Sciences Sociales de Toulouse, 1-5 June

2009 (collaboration with S. Van Bellegem)

43. Department of statistics, Carlos III University, Madrid, 28-29 May 2009 (collaboration

with E.M. Molanes-Lopez)

42. Department of statistics, Texas A&M University, 8-16 March 2009 (collaboration with

R. Carroll and U.U. Muller)

41. Guanghua School of Management, Peking University, 21-28 February 2009 (collaboration

with S.X. Chen)

40. Department of economics, University of Bonn, 8-12 December 2008 (collaboration with

A. Kneip)


39. Department of statistics, University of Paul Sabatier, Toulouse, 13-24 October 2008


38. Department of mathematics, University of Oslo, 17-21 August 2008 (collaboration with

N. Hjort)

37. INSA, Rennes, 29 June-4 July 2008 and 20-25 July 2008 (collaboration with V. Patilea)

36. Department of statistics, University of Paul Sabatier, Toulouse, 15-21 June 2008 (col-

laboration with P. Vieu and F. Ferraty)

35. School of mathematics, Georgia Institute of Technology, 3-11 May 2008 (collaboration

with L. Peng)

34. Department of mathematics, University of Bochum, 30 March-4 April 2008 (collabora-

tion with H. Dette)

33. Department of mathematics, University of Hamburg, 9-14 March 2008 (collaboration

with N. Neumeyer)

32. Department of statistics, University of Santiago de Compostela, 9-15 December 2007

(collaboration with W. Gonzalez Manteiga)

31. Department of statistics, Iowa State University, 3-17 November 2007 (collaboration with

S.X. Chen)

30. Department of statistics, University of Minnesota, 29 October-3 November 2007 (col-

laboration with L. Wang)

29. Department of statistics, University of Mannheim, 23-28 September 2007 (collaboration

with E. Mammen)

28. Department of statistics, University of Paul Sabatier, Toulouse, 9-14 September 2007


27. Department of statistics, Iowa State University, 22-28 July 2007 (collaboration with S.X.

Chen)

26. Department of statistics, University of Minnesota, 17-22 July 2007 (collaboration with

L. Wang)

25. Department of statistics, University of Santiago de Compostela, 10-16 June 2007 (col-


24. Department of statistics, University of Vigo, 4-9 June 2007 (collaboration with J. de

Una Alvarez and J.C. Pardo Fernandez)


23. Department of economics, University of Bonn, 10-13 April 2007 (collaboration with A.

Kneip)

22. Department of statistics, University of Paul Sabatier, Toulouse, 26 February-10 March

2007 (collaboration with P. Vieu and F. Ferraty)

21. Institute of statistics, University of Neuchatel, 14-21 December 2006 (collaboration with

Y. Ma)


7-15 July 2006 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)

19. Department of statistics, University of Vigo, 20-27 May 2006 (collaboration with J.C.

Pardo Fernandez and J. de Una Alvarez)

18. Department of biostatistics, Columbia University, 31 January-4 February 2006 (collabo-

ration with I. McKeague)

17. Department of statistics, Iowa State University, 20-31 January 2006 (collaboration with

S. Chen)

16. Department of statistics, University of Minneapolis, 16-20 January 2006 (collaboration

with L. Wang)


30 November-8 December 2005 (collaboration with W. Gonzalez Manteiga and C.

Sanchez Sellero)


3-10 April 2005 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)

13. Department of statistics and operations research, University of Vigo, 26 March - 2 April

2005 (collaboration with J. de Una Alvarez and J.C. Pardo Fernandez)

12. Department of statistics, University of California at Davis, 27-29 January 2005

11. Department of mathematics, University of California at San Diego, 20-26 January 2005

(collaboration with A. Delaigle)

10. Department of statistics, Texas A&M University, 13-19 January 2005 (collaboration with

R. Carroll)

9. Research institute CentER, Tilburg University, 21-22 December 2004 (collaboration with

J. Einmahl)

8. Department of mathematics, Universite de Rennes I, 9-12 October 2004


7. Department of mathematics, University of Bochum, 5-9 July 2004 (collaboration with

H. Dette and N. Neumeyer)


22-25 April 2004 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)

5. Department of mathematics, University of La Coruna, 18-21 April 2004 (collaboration

with R. Cao)

4. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 11-13

March 2004


25 January - 7 February 2004 (collaboration with W. Gonzalez Manteiga and C. Sanchez

Sellero)

2. Department of mathematics, University of La Coruna, 12-24 January 2004 (collaboration

with R. Cao)

1. Department of economics, Carlos III University, Madrid, 8-11 January 2004


5 Teaching

(Teaching limited to the period starting from September 2000)

Responsibilities

1. Programme director of the master of statistics and data science at KU Leuven since

2020

Bachelor level

1. ‘Traitement statistique des donnees’ (for pharmacy students, UCL, 2016)

2. ‘Statistique: analyse descriptive et modelisation GLM de donnees multivariees’ (for psy-

chology students, UCL, 2014-2016)

3. ‘Biostatistique’ (for veterinary medicine students, UCL, 2007-2011)

4. ‘Statistique appliquee a la psychologie II’ (for psychology students, UCL, 2004-2007)

5. ‘Statistique appliquee a la psychologie I’ (for psychology students, UCL, 2001-2014)

6. ‘Probabilite et statistique’ (for engineering students, UCL, 2000-2001)

Master level

1. ‘Advanced topics in survival analysis’ (KU Leuven, 2020-)

2. ‘Statistical analysis of reliability and survival data’ (KU Leuven, 2020-)

3. ‘Analyse des donnees de survie et de duree’ (UCL, 2002-present)

4. ‘Statistical inference in semiparametric models’ (UCL, 2016)

5. ‘Analyse statistique I’ (UCL, 2013-2016)

6. ‘Methodes de reechantillonnage avec applications’ (UCL, 2012-2016)

7. ‘Calcul des probabilites et analyse statistique’ (UCL, 2012-2013)

8. ‘Statistique nonparametrique : methodes de base’ (UCL, 2005-2016)


9. ‘Analyse statistique’ (UCL, 2005-2009)

10. ‘Probabilites et analyse statistique multivariee’ (UCL, 2003-2013)

11. ‘Mathematique du statisticien - Elements de probabilite et statistique’ (UCL, 2002-2016)

12. ‘Modeles lineaires’ (UCL, 2000-2005)

13. ‘Survival data analysis’ (Universiteit Hasselt, 2002, 2008-2010, 2012, 2014, 2016)

14. ‘Survival analysis and reliability’ (University of Vigo, 2004, 2006)

Doctoral level

1. ‘Survival analysis’ (course in APTS program, Glasgow, 2015, 2016, 2017)

2. ‘Special topics in mathematical statistics’ (UCL, 2009-2012)

3. ‘Probability and mathematical statistics’ (UCL, 2007-2016)

4. ‘Statistics seminar’ (UCL, 2000-2016)

5. ‘Resampling methods with applications’ (UCL, 2000-2001)

Short courses

1. StatCon 2020 On-line Workshop, North West University, Potchefstroom, South Africa,

30 November 2020 : ‘Cure models in survival analysis’ (online)

2. Department of statistics and operations research, University of Vigo, Spain, 11-13

November 2020 : ‘Cure models in survival analysis’ (online)

3. Summer School, Villars-sur-Ollon, Switzerland, 2-5 September 2018 : ‘Survival analysis:

from basic concepts to open research questions’.

4. Flames @ KU Leuven, 13 March 2018 : Short course on ‘Survival analysis and cure

models’.

5. 28th European Meeting of Statisticians, Piraeus, Greece, 17-22 August 2010 : Short

course on ‘Inference for semiparametric Z-estimators’.

6. Toulouse School of Economics, University of Toulouse I, 26 March - 1 April 2010 : Short

course on ‘Inference for semiparametric Z-estimators’.


7. Department of economics, Indiana University, USA, 22-25 February 2010 : Short course

on ‘Inference for semiparametric Z-estimators’.

8. Journees Statistiques du Sud 2009, Porquerolles, France, 17-19 June 2009 : Short course

on ‘The empirical likelihood method in regression’.


6 Supervision of PhD students andpostdocs

Supervision of PhD students

1. Benjamin Deketelaere (in preparation, joint with A. El Ghouch)

2. Morine Delhelle (in preparation)

3. Lorenzo Tedesco (in preparation)

4. Elif Akca (in preparation)

5. Motahareh Parsa (in preparation)

6. Negera Wakgari Deresa : ‘Flexible modeling and inference for survival data subject to

dependent censoring’ (9 December 2020)

7. Mailis Amico : ‘Cure models in survival analysis: from modelling to prediction assessment

of the cure fraction’ (joint with C. Legrand) (9 November 2018)

8. Mickael De Backer : ‘Quantile regression with censored data - An investigation of new

estimation procedures’ (joint with A. El Ghouch) (29 June 2018)

9. Nicolas Asin : ‘Adaptive estimation of inverse problems in the presence of dependence’

(joint with J. Johannes) (12 September 2017)

10. Benjamin Colling : ‘Estimation and goodness-of-fit tests in semi- and nonparametric

transformation models’ (6 September 2017)

11. Aurelie Bertrand : ‘Survival models with a cure fraction and mismeasured covariates’

(joint with C. Legrand) (5 July 2017)

12. Majda Talamakrouni : ‘Parametrically guided nonparametric estimation and inference

with censored data’ (joint with A. El Ghouch) (22 June 2016)

13. Aleksandar Sujica : ‘Estimation in nonparametric regression under copula dependent

censoring’ (21 October 2014)

14. Maik Schwarz : ‘Non parametric estimation in the presence of noise with unknown

distribution’ (1 July 2011)

15. Bianca Teodorescu : ‘General conditional linear models with time-dependent coefficients

under censoring and truncation’ (19 December 2008)


16. Anouar El Ghouch : ‘Nonparametric statistical inference for dependent censored data’

(5 October 2007)

17. Juan Carlos Pardo Fernandez : ‘Tests in nonparametric regression based on the error

distribution’ (joint with Wenceslao Gonzalez-Manteiga, at the University of Santiago de

Compostela) (1 December 2005)

18. Cedric Heuchenne : ‘Mean preservation in censored regression using preliminary non-

parametric smoothing’ (18 August 2005)

Supervision of postdocs

1. Negera Wakgari Deresa, 2021-

2. Jun Cai, 2021-

3. Jad Beyhum, 2020-

4. Alexander Kreiss, 2020-

5. Eni Musta, 2019-2020

6. Mercedes Conde Amboage, 2019

7. Jeong Min Jeon, 2018-

8. Xavier Piulachs, 2017-2018

9. Mikael Escobar-Bach, 2017-2018

10. Benjamin Colling, 2017-2018

11. Mercedes Conde Amboage, 2017

12. Ali Charkhi, 2017

13. Yue Zhao, 2016-2019

14. Samuel Maistre, 2015-2016

15. Justin Chown, 2015-2016

16. Francois Portier, 2013-2016

17. Axel Bucher, 2013

18. Seongjun Yang, 2012-2014

19. Abdelaati Daouia, 2011-2013


20. Maik Schwarz, 2011-2012

21. Hohsuk Noh, 2010-2013

22. Auguste Gaddah, 2010-2011

23. Rawane Samb, 2010-2011

24. Laurent Delsol, 2008-2009

25. Stephane Laurent, 2008-2009

26. Davit Varron, 2005-2006

Membership to external PhD/habilitation thesis

committees

1. 2020 : Hasselt, Paris, Toulouse, Hasselt, Paris

2. 2019 : Delft, Heidelberg, Hamburg

3. 2018 : Toulouse, Hasselt, Granada, Vigo

4. 2017 : Santiago de Compostela, Toulouse, La Coruna

5. 2016 : Leuven, Oslo, Hasselt

6. 2015 : Hasselt, Leuven, Hasselt

7. 2014 : Tilburg, Liege

8. 2013 : Leuven, Santiago de Compostela, Rennes, Delft, Lille

9. 2012 : Besancon, Lyon

10. 2011 : Heidelberg, Toulouse

11. 2010 : Bochum, Nicosia, Paris, Vigo, Hasselt, Marseille

12. 2009 : Namur, Paris

13. 2008 : Santiago de Compostela

14. 2007 : La Coruna

15. 2006 : Paris, Bochum, Paris

16. 2005 : Santiago de Compostela

17. 2004 : Santiago de Compostela, Hasselt, Rennes


7 Grants

1. Co-investigator of the Global PhD Partnership project ‘Quantile regression for censored

data’ of the KU Leuven and UCLouvain (2020-2024)

2. Co-investigator of the ARC project (‘Projet d’Actions de Recherche Concertees’) ‘Im-

perfect data : From mathematical foundations to applications in life sciences’ of the

‘Communaute francaise de Belgique’, granted by the ‘Academie universitaire Louvain’

(2020-2025)

3. Principal Investigator of the C1 project ‘Measurement errors: from mathematical foun-

dations to applications in economics’ of the KU Leuven (2019-2023)

4. Principal Investigator of the ERC grant (European Research Council) ‘Semiparametric

inference for complex and structural models in survival analysis’ (2016-2022, Horizon

2020 / ERC grant agreement No. 694409)

5. Principal Investigator of the PDR grant ‘Semiparametric inference for multi-state models’

financed by the FNRS (2016-2020).

6. Co-investigator of the IAP network (Interuniversity Attraction Pole) ‘Developing cru-

cial statistical methods for understanding major complex dynamic systems in natural,

biomedical and social sciences’ (Phase VII, 2012-2016, contract P7/06)

7. Principal Investigator of the ARC project (‘Projet d’Actions de Recherche Concertees’)

‘Semiparametric inference for survival and cure models’ of the ‘Communaute francaise

de Belgique’, granted by the ‘Academie universitaire Louvain’ (2011-2016, contract

11/16-039)

8. Principal Investigator of the FRFC project (‘Fonds de la Recherche Fondamentale Col-

lective’) ‘Semiparametric inference for cure models’ (2011-2014, convention 2.4507.11)

9. Principal Investigator of the ERC grant (European Research Council) ‘M- and Z-estimation

in semiparametric statistics: applications in various fields’ (2008-2014, European Com-

munity’s Seventh Framework Programme / ERC grant agreement No. 203650)

10. Principal Investigator of the IAP network (Interuniversity Attraction Pole) ‘Statistical

analysis of association and dependence in complex data’ (Phase VI, 2007-2011, contract

P6/03)

11. Principal Investigator of the IAP network (Interuniversity Attraction Pole) ‘Statistical

techniques and modeling for complex substantive questions with complex data’ (Phase

V, 2002-2006, contract P5/24) during the period 2004-2006


12. Co-investigator of the grant ‘Metodologia y aplicaciones en estadistica semiparametrica,

funcional y espacio temporal’ from the Spanish Ministerio de Educacion y Ciencia (project

MTM2005-03010) (principal investigator : W. Gonzalez-Manteiga)


8 Fellowships, honors and awards

1. Fellow of the American Statistical Association (2013) ‘for outstanding research contri-

butions to statistical theory and methodology, especially in the areas of survival analysis,

copulas, semi-parametric, nonparametric and empirical likelihood based inference; for

extensive editorial services and service to the profession.’

2. Fellow of the Institute of Mathematical Statistics (2008) ‘for contributions to statistical

theory and methodology, especially semi- and nonparametric regression, survival analysis,

and empirical likelihood methods.’

3. Elected member of the International Statistical Institute (2004)

4. 2001-2002 recipient of the Janssen Research Foundation Chair in Survival Analysis


9 Editorships / associate editorships

1. Joint editor of the Journal of the Royal Statistical Society - Series B (2012-2015)

2. Associate editor of Annals of Statistics (2018-)

3. Associate editor of Biometrika (2018-)

4. Associate editor of the Electronic Journal of Statistics (2018-)

5. Member of the editorial board of ‘Annual Review of Statistics and Its Application’

(2016-)

6. Member of the advisory board of ‘Econometrics and Statistics’ (2015-)

7. Associate editor of the International Journal of Biostatistics (2008-2013)

8. Associate editor of the Annals of Statistics (2007-2011)

9. Associate editor of the Scandinavian Journal of Statistics (2004-2011)

10. Associate editor of the Annals of the Institute of Statistical Mathematics (2006-2011)

11. Associate editor of Statistics and Probability Letters (2007-2011)

12. Associate editor of the Journal of the Royal Statistical Society - Series B (2002-2006)

13. Referee for papers submitted to Annals of Statistics, Annals of the Institute of Sta-

tistical Mathematics, Austrian Journal of Statistics, Bernoulli, Biometrics, Biometrika,

Canadian Journal of Statistics, Comptes rendus - Mathematique, Computational Statis-

tics, Computational Statistics and Data Analysis, Econometrica, Econometric Theory,

ESAIM: Probability and Statistics, International Journal of Biostatistics, Journal of the

American Statistical Association, Journal of Computational and Graphical Statistics,

Journal of Econometrics, Journal of Multivariate Analysis, Journal of Nonparametric

Statistics, Journal of Statistical Planning and Inference, Journal of the Royal Statistical

Society-Series B, Journal of Time Series Analysis, Kybernetika, Lifetime Data Analysis,

Metrika, Probability and Mathematical Statistics, Probability Theory and Related Fields,

Sankhya, Scandinavian Journal of Statistics, Science in China, Statistica Neerlandica,

Statistica Sinica, Statistics, Statistics and Computing, Statistics and Decisions, Statis-

tics and Probability Letters, Statistics in Medicine, Technometrics, Test, The American

Statistician, among others


10 Service to the profession

1. Co-chair of the scientific programme committee of the 5th Conference of the Interna-

tional Society for Nonparametric Statistics (ISNPS), Paphos, Cyprus, 20-24 June 2022

2. Co-organizer of the ATMS workshop on ‘Multi- and high-dimensional statistics, copulas,

survival analysis, and model selection’, KU Leuven, 22-24 August 2018

3. Chair of the scientific programme committee of the European Meeting for Statisticians

(EMS), Helsinki, 24-28 July 2017

4. Chair of the Section on Nonparametric Statistics of the American Statistical Association

(2018)

5. Scientific expert for the European Research Council (2018-)

6. Chair-Elect of the Section on Nonparametric Statistics of the American Statistical As-

sociation (2017)

7. Member of the Council of the Bernoulli Society (2017-)

8. Member of the IMS Committee on Nominations (2016-2017)

9. Member of the Council of the IMS (2010-2013)

10. Member of the IMS Council sub-committee on co-sponsorship of meetings (2010-2013)

11. Member of the fellowship committee of the IMS (2008-2011)

12. Member of the scientific programme committee of the European Meeting for Statisticians

(EMS), Toulouse, 20-24 July 2009

13. Member of the board of the Belgian Statistical Society (2007-2012)

14. Member of the board of the Quetelet Society, local group of the International Biometric

Society (2000-2002)

15. Scientific expert for the Research Council of Flanders (Fonds voor Wetenschappelijk

Onderzoek) (2006-2013, 2018-)

16. President of the Three Country Corner, local group of the Royal Statistical Society

(2006-2007)

17. Committee member of the ‘European Regional Committee’ of the Bernoulli Society

(2004-2008)

18. Member of the Conference Committee of the ‘European Regional Committee’ of the

Bernoulli Society (2007-2008)


19. Member of the steering group of the ‘Seminaire Europeen de Statistique’ (2004-)

20. Member of the scientific organizing committee of the annual meeting of the Belgian

Statistical Society (BSS), 2006, 2007, 2008, 2013, 2018

21. Co-organizer of the ‘Winter School in Statistics’, Universite catholique de Louvain, 28-29

January 2016

22. Main organizer of the workshop ‘Complex time-to-event data’, Universite catholique de

Louvain, 17-18 December 2015

23. Main organizer of the conference ‘Statistics, your friend in daily life; whether you like it

or not’, Universite catholique de Louvain, 25 October 2013

24. Main organizer of the workshop ‘Exploring research frontiers in contemporary statistics

and econometrics’, Universite catholique de Louvain, 14-15 May 2009

25. Main organizer of the workshop ‘Flexible statistical analysis adapted to complex data

structures’, Universite catholique de Louvain, 16-17 March 2006

26. Co-organizer of the workshop ‘Statistical modelling and inference for complex data struc-

tures’, Universite catholique de Louvain, 21-23 May 2002

27. Organiser of the one-day workshop ‘Recent developments in non- and semiparametric

statistics’, Universite catholique de Louvain, 8 May 2001


Documents

Ingrid Van Keilegom · 2020. 11. 14. · Curriculum Vitae Ingrid Van Keilegom, November 14, 2020 2. 12.Visiting professor at Universit e de Toulouse I, March-May 2010 13.Visiting