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Aya-Moreno C; Penev S; Geenens G; Aya Moreno C, 2024, 'Hellinger-Bhattacharyya Cross-Validation for Shape-Preserving Multivariate Wavelet Thresholding', in Doosti H (ed.), Flexible Nonparametric Curve Estimation, Springer Nature, Cham, Switzerland, pp. 197 - 227, http://dx.doi.org/10.1007/978-3-031-66501-1_9
, 2024, 'Flexible Nonparametric Curve Estimation', in Doosti H (ed.), , Springer International Publishing, http://dx.doi.org/10.1007/978-3-031-66501-1
Geenens G, 2011, 'A Nonparametric Functional Method for Signature Recognition', in Ferraty F (ed.), Recent Advances in Functional Data Analysis and Related Topics, Springer
Geenens G, 2024, '(Re-)Reading Sklar (1959)—A Personal View on Sklar’s Theorem', Mathematics, 12, http://dx.doi.org/10.3390/math12030380
Geenens G; Nieto-Reyes A; Francisci G, 2023, 'Statistical depth in abstract metric spaces', Statistics and Computing, 33, http://dx.doi.org/10.1007/s11222-023-10216-4
Geenens G; Lafaye de Micheaux P, 2022, 'The Hellinger Correlation', Journal of the American Statistical Association, 117, pp. 639 - 653, http://dx.doi.org/10.1080/01621459.2020.1791132
Geenens G, 2020, 'Copula modeling for discrete random vectors', Dependence Modeling, 8, pp. 417 - 440, http://dx.doi.org/10.1515/demo-2020-0022
Geenens G; Cuddihy T, 2018, 'Non-parametric evidence of second-leg home advantage in European football', Journal of the Royal Statistical Society. Series A: Statistics in Society, 181, pp. 1009 - 1031, http://dx.doi.org/10.1111/rssa.12338
Aya Moreno C; Geenens G; Penev SI, 2018, 'Shape-preserving wavelet-based multivariate density estimation', Journal of Multivariate Analysis, 168, pp. 30 - 47, http://dx.doi.org/10.1016/j.jmva.2018.07.002
Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, 54, pp. 1252 - 1280, http://dx.doi.org/10.1002/2018WR022627
Geenens G; Wang C, 2018, 'Local-likelihood transformation kernel density estimation for positive random variables', Journal of Computational and Graphical Statistics, 27, http://dx.doi.org/10.1080/10618600.2018.1424636
Geenens G; Dunn R, 2017, 'A nonparametric copula approach to conditional Value-at-Risk', , https://arxiv.org/abs/1712.05527
Geenens G; Charpentier A; Paindaveine D, 2015, 'Probit transformation for nonparametric kernel estimation of the copula density', Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability
Geenens G, 2015, 'Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression', Statistics and Probability Letters, 107, pp. 369 - 377, http://dx.doi.org/10.1016/j.spl.2015.09.015
Geenens G, 2014, 'Explicit Formula for Asymptotic Higher Moments of the Nadaraya-Watson Estimator', SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 76, pp. 77 - 100, http://dx.doi.org/10.1007/s13171-013-0035-y
Geenens G, 2014, 'On the decisiveness of a game in a tournament', European Journal of Operational Research, 232, pp. 156 - 168, http://dx.doi.org/10.1016/j.ejor.2013.06.025
Geenens G, 2014, 'Explicit formula for asymptotic higher moments of the Nadaraya-Watson estimator', Sankhya, the Indian Journal of Statistics - Series A, 76, pp. 77 - 100, http://dx.doi.org/10.1007/s13171-013-0035-y
Geenens G, 2013, 'Probit transformation for kernel density estimation on the unit interval', Journal of the American Statistical Association, 109, pp. 346 - 358, http://dx.doi.org/10.1080/01621459.2013.842173
Hui FKC; Geenens G, 2013, 'A nonparametric measure of local association for two-way contingency tables', Computational Statistics and Data Analysis, 68, pp. 98 - 110, http://dx.doi.org/10.1016/j.csda.2013.06.013
Hui FKC; Geenens G, 2012, 'Nonparametric bootstrap tests of conditional independence in two-way contingency tables', Journal of Multivariate Analysis, 112, pp. 130 - 144, http://dx.doi.org/10.1016/j.jmva.2012.05.015
Geenens G, 2011, 'Curse of dimensionality and related issues in nonparametric functional regression', Statistics Surveys, 5, pp. 30 - 43, http://dx.doi.org/10.1214/09-SS049
Geenens G; Simar L, 2010, 'Nonparametric tests for conditional independence in two-way contingency tables', Journal of Multivariate Analysis, 101, pp. 765 - 788, http://dx.doi.org/10.1016/j.jmva.2009.12.017
Geenens G; Simar L, 2010, 'Single-index modelling of conditional probabilities in two-way contingency tables', Statistics, pp. 1 - 28, http://dx.doi.org/10.1080/02331881003650115
Geenens G, 2010, 'Who deserved the 2008-2009 Belgian Football Champion title? A semiparametric Answer', Journal of Quantitative Analysis in Sports, 6, pp. article 4, http://dx.doi.org/10.2202/1559-0410.1225
Geenens G; Delecroix M, 2006, 'A survey about Single-Index Models theory', International Journal of Statistics and Systems, 1, pp. 203 - 230
Geenens G, 2007, 'Nonparametric test for conditional independence in two-way contingency tables', Castro Urdiales, Spain, presented at 15th European Young Statisticians Meeting, Castro Urdiales, Spain, 10 September 2007 - 14 September 2007, http://matematicas.unex.es/~idelpuerto/WEB_EYSM/Articles/be_gery_geenens_art.pdf
Geenens G, 2019, An essay on copula modelling for discrete random vectors; or how to pour new wine into old bottles, arXiv:1901.08741, http://dx.doi.org, https://arxiv.org/abs/1901.08741
Geenens G; Lafaye de Micheaux P, 2018, The Hellinger Correlation, http://dx.doi.org, https://arxiv.org/abs/1810.10276
Geenens G, 2017, Mellin-Meijer-kernel density estimation on R+, arXiv:1707.04301, http://dx.doi.org, https://arxiv.org/abs/1707.04301
Geenens G; Simar L, 2005, Index coefficients estimation in Single-Index Models: the Generalized Maximum Rank Correlation estimator, DP0535, http://dx.doi.org, https://dial.uclouvain.be/pr/boreal/object/boreal:122280/datastream/PDF_01/view
Geenens G; Kojadinovic I; Martini T, 2024, On the differentiability of $\phi$-projections in the discrete finite case, http://dx.doi.org/10.48550/arxiv.2407.05997
Geenens G, 2023, (Re-)reading Sklar (1959) -- A personal view on Sklar's theorem, http://arxiv.org/abs/2312.08570v2
Geenens G, 2023, Towards a universal representation of statistical dependence, http://arxiv.org/abs/2302.08151v5
Aya-Moreno C; Geenens G; Penev S, 2022, Hellinger-Bhattacharyya cross-validation for shape-preserving multivariate wavelet thresholding, http://arxiv.org/abs/2204.13854v1
Geenens G; Nieto-Reyes A; Francisci G, 2021, Statistical depth in abstract metric spaces, http://arxiv.org/abs/2107.13779v1
Geenens G, 2019, An essay on copula modelling for discrete random vectors; or how to pour new wine into old bottles, http://arxiv.org/abs/1901.08741v2
Geenens G; de Micheaux PL, 2018, The Hellinger Correlation, http://dx.doi.org/10.48550/arxiv.1810.10276
Geenens G; Dunn R, 2017, A nonparametric copula approach to conditional Value-at-Risk, http://arxiv.org/abs/1712.05527v2
Moreno CA; Geenens G; Penev S, 2017, Shape-preserving wavelet-based multivariate density estimation, http://arxiv.org/abs/1708.08321v1
Geenens G, 2017, Mellin-Meijer-kernel density estimation on $\mathbb{R}^+$, http://arxiv.org/abs/1707.04301v1
Geenens G; Cuddihy T, 2017, Robust analysis of second-leg home advantage in UEFA football through better nonparametric confidence intervals for binary regression functions, http://arxiv.org/abs/1701.07555v1
Geenens G; Wang C, 2016, Local-likelihood transformation kernel density estimation for positive random variables, http://arxiv.org/abs/1602.04862v1
Geenens G; Charpentier A; Paindaveine D, 2014, Probit transformation for nonparametric kernel estimation of the copula density, http://arxiv.org/abs/1404.4414v1
Geenens G, 2013, Probit transformation for kernel density estimation on the unit interval, http://arxiv.org/abs/1303.4121v1
Hui FKC; Geenens G, 2012, A Nonparametric Measure of Local Association for two-way Contingency Tables, http://arxiv.org/abs/1211.3460v1
Geenens G, On the Decisiveness of a Game in a Tournament, http://dx.doi.org/10.2139/ssrn.2195409