Curse of dimensionality and related issues in nonparametric functional regression G Geenens
124 2011 Probit transformation for nonparametric kernel estimation of the copula density G Geenens, A Charpentier, D Paindaveine
105 2017 Data‐driven model uncertainty estimation in hydrologic data assimilation S Pathiraja, H Moradkhani, L Marshall, A Sharma, G Geenens
Water resources research 54 (2), 1252-1280, 2018
73 2018 Probit transformation for kernel density estimation on the unit interval G Geenens
Journal of the American Statistical Association 109 (505), 346-358, 2014
67 2014 The hellinger correlation G Geenens, P Lafaye de Micheaux
Journal of the American Statistical Association 117 (538), 639-653, 2022
36 2022 Copula modeling for discrete random vectors G Geenens
Dependence Modeling 8 (1), 417-440, 2020
29 2020 A survey about single-index models theory G Geenens, M Delecroix
Int J Stat Syst 1, 203-230, 2006
21 2006 On the decisiveness of a game in a tournament G Geenens
European Journal of Operational Research 232 (1), 156-168, 2014
19 2014 Nonparametric tests for conditional independence in two-way contingency tables G Geenens, L Simar
Journal of Multivariate Analysis 101 (4), 765-788, 2010
17 2010 A nonparametric copula approach to conditional Value-at-Risk G Geenens, R Dunn
Econometrics and Statistics 21, 19-37, 2022
14 2022 Local-likelihood transformation Kernel Density Estimation for positive random variables G Geenens, C Wang
Journal of Computational and Graphical Statistics 27 (4), 822-835, 2018
11 2018 Statistical depth in abstract metric spaces G Geenens, A Nieto-Reyes, G Francisci
Statistics and Computing 33 (2), 46, 2023
10 2023 Non-parametric evidence of second-leg home advantage in European football G Geenens, T Cuddihy
Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018
10 2018 A nonparametric functional method for signature recognition G Geenens
Recent Advances in Functional Data Analysis and Related Topics, 141-147, 2011
10 2011 Explicit formula for asymptotic higher moments of the Nadaraya-Watson Estimator G Geenens
Sankhya A 76 (1), 77-100, 2014
7 2014 Mellin–Meijer kernel density estimation on G Geenens
Annals of the Institute of Statistical Mathematics 73 (5), 953-977, 2021
6 2021 Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression G Geenens
Statistics & Probability Letters 107, 369-377, 2015
5 2015 An essay on copula modelling for discrete random vectors; or how to pour new wine into old bottles G Geenens
arXiv preprint arXiv:1901.08741, 2019
3 2019 Shape-preserving wavelet-based multivariate density estimation C Aya-Moreno, G Geenens, S Penev
Journal of Multivariate Analysis 168, 30-47, 2018
3 2018 Single-index modelling of conditional probabilities in two-way contingency tables G Geenens, L Simar
Statistics 45 (5), 451-478, 2011
3 2011