| Statistics of extremes: theory and applications J Beirlant, Y Goegebeur, J Segers, JL Teugels John Wiley & Sons, 2006 | 3003 | 2006 |
| Tail index estimation and an exponential regression model J Beirlant, G Dierckx, Y Goegebeur, G Matthys Extremes 2, 177-200, 1999 | 466 | 1999 |
| Diagnostic checks for discrete data regression models using posterior predictive simulations A Gelman, Y Goegebeur, F Tuerlinckx, I Van Mechelen Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 …, 2000 | 162 | 2000 |
| Kernel estimators for the second order parameter in extreme value statistics Y Goegebeur, J Beirlant, T de Wet Journal of statistical Planning and Inference 140 (9), 2632-2652, 2010 | 91 | 2010 |
| Local polynomial maximum likelihood estimation for Pareto-type distributions J Beirlant, Y Goegebeur Journal of Multivariate Analysis 89 (1), 97-118, 2004 | 82 | 2004 |
| A speeded item response model with gradual process change Y Goegebeur, P De Boeck, JA Wollack, AS Cohen Psychometrika 73 (1), 65-87, 2008 | 71 | 2008 |
| Regression with response distributions of Pareto-type J Beirlant, Y Goegebeur Computational statistics & data analysis 42 (4), 595-619, 2003 | 70 | 2003 |
| Linking Pareto-tail kernel goodness-offit statistics with tail index at optimal threshold and second order estimation Y Goegebeur, J Beirlant, T de Wet REVSTAT-Statistical Journal 6 (1), 51–69-51–69, 2008 | 65 | 2008 |
| Nonparametric regression estimation of conditional tails: the random covariate case Y Goegebeur, A Guillou, A Schorgen Statistics 48 (4), 732-755, 2014 | 62 | 2014 |
| A goodness-of-fit statistic for Pareto-type behaviour J Beirlant, T de Wet, Y Goegebeur Journal of Computational and Applied Mathematics 186 (1), 99-116, 2006 | 61 | 2006 |
| Nonparametric estimation of extreme conditional quantiles J Beirlant, TD Wet, Y Goegebeur Journal of statistical computation and simulation 74 (8), 567-580, 2004 | 57 | 2004 |
| Plasma TNF‐α levels are higher in early pregnancy in patients with secondary compared with primary recurrent miscarriage ZM Piosik, Y Goegebeur, L Klitkou, R Steffensen, OB Christiansen American Journal of Reproductive Immunology 70 (5), 347-358, 2013 | 52 | 2013 |
| Generalized kernel estimators for the Weibull-tail coefficient Y Goegebeur, J Beirlant, T De Wet Communications in Statistics—Theory and Methods 39 (20), 3695-3716, 2010 | 43 | 2010 |
| Goodness-of-fit testing for Weibull-type behavior Y Goegebeur, A Guillou Journal of Statistical Planning and Inference 140 (6), 1417-1436, 2010 | 43 | 2010 |
| Burr regression and portfolio segmentation J Beirlant, Y Goegebeur, R Verlaak, P Vynckier Insurance: Mathematics and Economics 23 (3), 231-250, 1998 | 41 | 1998 |
| Mixed models for the analysis of optimization algorithms M Chiarandini, Y Goegebeur Experimental Methods for the Analysis of Optimization Algorithms, 225-264, 2010 | 37 | 2010 |
| Asymptotically unbiased estimation of the coefficient of tail dependence Y Goegebeur, A Guillou Scandinavian Journal of Statistics 40 (1), 174-189, 2013 | 36 | 2013 |
| Local robust estimation of the Pickands dependence function M Escobar-Bach, Y Goegebeur, A Guillou The Annals of Statistics 46 (6A), 2806-2843, 2018 | 29 | 2018 |
| Bias-corrected estimation of stable tail dependence function J Beirlant, M Escobar-Bach, Y Goegebeur, A Guillou Journal of Multivariate Analysis 143, 453-466, 2016 | 29 | 2016 |
| A local moment type estimator for the extreme value index in regression with random covariates Y Goegebeur, A Guillou, M Osmann Canadian Journal of Statistics 42 (3), 487-507, 2014 | 28 | 2014 |
