Published papers (and papers in press)

[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.
[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.
[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.
[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.
[5] Van Keilegom, I. and Akritas, M.G. (1999). Transfer of tail information in censored regression models. Ann. Statist., 27, 1745-1784.
[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.
[7] Van Keilegom, I., Akritas, M.G. and Veraverbeke, N. (2001). Estimation of the conditional distribution in regression with censored data : a comparative study. Comput. Statist. Data Anal., 35, 487-500.
[8] Akritas, M.G. and Van Keilegom, I. (2001). Nonparametric ANCOVA methods for heteroscedastic nonparametric regression models. J. Amer. Statist. Assoc., 96, 220-232.
[9] Akritas, M.G. and Van Keilegom, I. (2001). Nonparametric estimation of the residual distribution. Scand. J. Statist., 28, 549-568.
[10] Van Keilegom, I. and Veraverbeke, N. (2001). Hazard rate estimation in nonparametric regression with censored data. Ann. Inst. Statist. Math., 53, 730-745.
[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.
[12] Li, G. and Van Keilegom, I. (2002). Likelihood ratio confidence bands in nonparametric regression with censored data. Scand. J. Statist., 29, 547-562.
[13] Van Keilegom, I. and Veraverbeke, N. (2002). Density and hazard estimation in censored regression models. Bernoulli, 8, 607-625.
[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.
[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.
[16] Du, Y., Akritas, M.G. and Van Keilegom, I. (2003). Nonparametric methods for analysis of covariance with censored data. Biometrika, 90, 269-287.
[17] Tilquin, P., Van Keilegom, I., Coppieters, W., Le Boulengé, 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.
[18] Claeskens, G. and Van Keilegom, I. (2003). Bootstrap confidence bands for regression curves and their derivatives. Ann. Statist., 31, 1852-1884.
[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.
[20] Van Keilegom, I. (2004). A note on the nonparametric estimation of the bivariate distribution under dependent censoring. J. Nonpar. Statist., 16, 659-670.
[21] Hall, P. and Van Keilegom, I. (2005). Testing for monotone increasing hazard rate. Ann. Statist., 33, 1109-1137.
[22] Brouhns, N., Denuit, M. and Van Keilegom, I. (2005). Bootstrapping the Poisson log-bilinear model for mortality forecasting. Scand. Actuar. J., 212-224.
[23] Sánchez Sellero, C., González Manteiga, W. and Van Keilegom, I. (2005). Uniform representation of product-limit integrals with applications. Scand. J. Statist., 32, 563-581.
[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.
[25] Pardo-Fernandez, J.C. and Van Keilegom, I. (2006). Comparison of regression curves with censored responses. Scand. J. Statist., 33, 409-434.
[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.
[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.
[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.
[29] Van Keilegom, I. and Carroll, R.J. (2007). Backfitting versus profiling in general criterion functions. Statist. Sinica, 17, 797-816.
[30] Heuchenne, C. and Van Keilegom, I. (2007). Location estimation in nonparametric regression with censored data. J. Multiv. Anal., 98, 1558-1582.
[31] Heuchenne, C. and Van Keilegom, I. (2007). Nonlinear regression with censored data. Technometrics, 49, 34-44.
[32] Pardo-Fernández, J.C., Van Keilegom, I. and González-Manteiga, W. (2007). Testing for the equality of k regression curves. Statist. Sinica, 17, 1115-1137.
[33] Pardo-Fernández, J.C., Van Keilegom, I. and González-Manteiga, W. (2007). Goodness-of-fit tests for parametric models in censored regression. Canad. J. Statist., 35, 249-264.
[34] Hall, P. and Van Keilegom, I. (2007). Two-sample tests in functional data analysis starting from discrete data. Statist. Sinica, 17, 1511-1532.
[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.
[36] Einmahl, J. and Van Keilegom, I. (2008). Specification tests in nonparametric regression. J. Econometrics, 143, 88-102.
[37] Linton, O., Sperlich, S. and Van Keilegom, I. (2008). Estimation of a semiparametric transformation model. Ann. Statist., 36, 686-718.
[38] Van Keilegom, I., Sánchez Sellero, C. and González Manteiga, W. (2008). Empirical likelihood based testing for regression. Electr. J. Statist., 2, 581-604.
[39] Einmahl, J. and Van Keilegom, I. (2008). Tests for independence in nonparametric regression. Statist. Sinica, 18, 601-616.
[40] El Ghouch, A. and Van Keilegom, I. (2008). Nonparametric regression with dependent censored data. Scand. J. Statist., 35, 228-247.
[41] Van Keilegom, I., González Manteiga, W. and Sánchez Sellero, C. (2008). Goodness-of-fit tests in parametric regression based on the estimation of the error distribution. TEST, 17, 401-415.
[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.
[43] Ojeda-Cabrera, J. and Van Keilegom, I. (2009). Goodness-of-fit tests for parametric regression with selection biased data. J. Statist. Planning Inf., 139, 2836-2850.
[44] Hjort, N.L., McKeague, I.W. and Van Keilegom, I. (2009). Extending the scope of empirical likelihood. Ann. Statist., 37, 1079-1111.
[45] Molanes-Lopez, E., Van Keilegom, I. and Veraverbeke, N. (2009). Empirical likelihood for non-smooth criterion functions. Scand. J. Statist., 36, 413-432.
[46] Neumeyer, N. and Van Keilegom, I. (2009). Change-point tests for the error distribution in nonparametric regression. Scand. J. Statist., 36, 518-541.
[47] Hall, P. and Van Keilegom, I. (2009). Nonparametric ``regression'' when errors are centred at endpoints. Bernoulli, 15, 614-633.
[48] Dette, H., Pardo-Fernández, J.C. and Van Keilegom, I. (2009). Goodness-of-fit tests for multiplicative models with dependent data. Scand. J. Statist., 36, 782-799.
[49] El Ghouch, A. and Van Keilegom, I. (2009). Local linear quantile regression with dependent censored data. Statist. Sinica, 19, 1621-1640.
[50] Chen, S.X. and Van Keilegom, I. (2009). A review on empirical likelihood methods for regression. TEST, 18, 415-447.
[51] Chen, S.X. and Van Keilegom, I. (2009). Rejoinder on : A review on empirical likelihood methods for regression. TEST, 18, 468-474.
[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.
[53] Braekers, R. and Van Keilegom, I. (2009). Flexible modeling based on copulas in nonparametric regression. J. Multiv. Anal., 6, 1270-1281.
[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.
[55] Neumeyer, N. and Van Keilegom, I. (2010). Estimating the error distribution in nonparametric multiple regression with applications to model testing. J. Multiv. Anal., 101, 1067-1078.
[56] Crujeiras, R.M. and Van Keilegom, I. (2010). Least squares estimation of nonlinear spatial trends. Comput. Statist. Data Anal., 54, 452-465
[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.
[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.
[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.
[60] Teodorescu, B. and Van Keilegom, I. (2010). Goodness-of-fit test in generalized conditional linear models under left truncation and right censoring. J. Nonpar. Statist., 22, 547-566.
[61] Molanes López, E.M., Cao, R. and Van Keilegom, I. (2010). Smoothed empirical likelihood confidence intervals for the relative distribution with left truncated and right censored data. Canad. J. Statist., 38, 453-473.
[62] Heuchenne, C. and Van Keilegom, I. (2010). Goodness-of-fit tests for the error distribution in nonparametric regression. Comput. Statist. Data Anal., 54, 1942-1951.
[63] El Ghouch, A., Van Keilegom, I. and McKeague, I. (2011). Empirical likelihood confidence intervals for dependent duration data. Econometric Theory, 27, 178-198.
[64] Van Keilegom, I., de Uña-Álvarez, J. and Meira-Machado, L. (2011). Nonparametric location-scale models for censored successive survival times. J. Statist. Planning Inf., 141, 1118-1131.
[65] Linton, O., Mammen, E., Nielsen, J.P. and Van Keilegom, I. (2011). Nonparametric regression with filtered data. Bernoulli, 17, 60-87.
[66] González Manteiga, W., Pardo Fernández, J.C. and Van Keilegom, I. (2011). ROC curves in nonparametric location-scale regression models. Scand. J. Statist, 38, 169-184.
[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.
[68] Varron, D. and Van Keilegom, I. (2011). Uniform in bandwidth sharp rates for a class of kernel estimators. Ann. Inst. Statist. Math., 63, 1077-1102.
[69] Heuchenne, C. and Van Keilegom, I. (2011). Estimation of a general parametric location in censored regression. In : Exploring research frontiers in contemporary statistics and econometrics - Festschrift in honor of L. Simar, Springer (to appear).
[70] Peng, L., Qi, Y. and Van Keilegom, I. (2011). Jackknife empirical likelihood method for copulas. TEST (to appear).

[1] Wei, J., Carroll, R.J., Müller, U.U., Van Keilegom, I. and Chatterjee, N. Robust estimation for homoscedastic regression in the secondary analysis of case-control data (conditionally accepted by J. Royal Statist. Soc. - Series B).
[2] Dahlke, M., Breidt, F.J., Opsomer, J.D. abd Van Keilegom, I. Nonparametric endogenous post-stratification estimation (conditionally accepted by Statist. Sinica).
[3] Lopez, O., Patilea, V. and Van Keilegom, I. Single index regression models in the presence of censoring depending on the covariates (conditionally accepted by Bernoulli).
[4] Ferraty, F., Van Keilegom, I. and Vieu, P. Bootstrap and inference when both response and regressor are functional (conditionally accepted by J. Multiv. Anal.).

[1] Kneip, L., Simar, L. and Van Keilegom, I. Boundary estimation in the presence of measurement error with unknown variance.
[2] Meira-Machado, L., Roca-Pardinas, J., Van Keilegom, I. and Cadarso-Suárez, C. Estimation of transition probabilities in a non-Markov model with successive survival time.
[3] Noh, H., El Ghouch, A. and Van Keilegom, I. Quality of fit measures in the framework of quantile regression.
[4] Vanhems, A. and Van Keilegom, I. Semiparametric transformation model with endogeneity: a control function approach.
[5] Chen, S.X. and Van Keilegom, I. Estimation in semiparametric models with missing data.
[6] Noh, H., El Ghouch, A. and Van Keilegom, I. On assessing model adequacy in linear quantile regression.
[7] Müller, U.U. and Van Keilegom, I. Efficient parameter estimation in regression with missing responses.
[8] Samb, R., Heuchenne, C. and Van Keilegom, I. Estimation of the error density in a semiparametric transformation model.
[9] Heuchenne, C., Laurent, S., Legrand, C. and Van Keilegom, I. Likelihood based inference for semi-competing risks.