| Curse of dimensionality and related issues in nonparametric functional regression G Geenens | 125 | 2011 |
| Probit transformation for nonparametric kernel estimation of the copula density G Geenens, A Charpentier, D Paindaveine | 122 | 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 | 89 | 2018 |
| Probit transformation for kernel density estimation on the unit interval G Geenens Journal of the American Statistical Association 109 (505), 346-358, 2014 | 80 | 2014 |
| Copula modeling for discrete random vectors G Geenens Dependence Modeling 8 (1), 417-440, 2020 | 52 | 2020 |
| The hellinger correlation G Geenens, P Lafaye de Micheaux Journal of the American Statistical Association 117 (538), 639-653, 2022 | 44 | 2022 |
| Statistical depth in abstract metric spaces G Geenens, A Nieto-Reyes, G Francisci Statistics and Computing 33 (2), 46, 2023 | 23 | 2023 |
| On the decisiveness of a game in a tournament G Geenens European Journal of Operational Research 232 (1), 156-168, 2014 | 23 | 2014 |
| A survey about single-index models theory G Geenens, M Delecroix Int J Stat Syst 1, 203-230, 2006 | 20 | 2006 |
| 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 |
| 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 | 15 | 2018 |
| A nonparametric copula approach to conditional Value-at-Risk G Geenens, R Dunn Econometrics and Statistics 21, 19-37, 2022 | 14 | 2022 |
| 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 | 12 | 2018 |
| A nonparametric functional method for signature recognition G Geenens Recent Advances in Functional Data Analysis and Related Topics, 141-147, 2011 | 10 | 2011 |
| Mellin–Meijer kernel density estimation on G Geenens Annals of the Institute of Statistical Mathematics 73 (5), 953-977, 2021 | 8 | 2021 |
| Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression G Geenens Statistics & Probability Letters 107, 369-377, 2015 | 7 | 2015 |
| Explicit formula for asymptotic higher moments of the Nadaraya-Watson Estimator G Geenens Sankhya A 76 (1), 77-100, 2014 | 7 | 2014 |
| (Re-) Reading Sklar (1959)—A Personal View on Sklar’s Theorem G Geenens Mathematics 12 (3), 380, 2024 | 5 | 2024 |
| Shape-preserving wavelet-based multivariate density estimation C Aya-Moreno, G Geenens, S Penev Journal of Multivariate Analysis 168, 30-47, 2018 | 5 | 2018 |
| Towards a universal representation of statistical dependence G Geenens arXiv preprint arXiv:2302.08151, 2023 | 4 | 2023 |
