By Dr Gery Geenens

Book Chapters

Geenens G; Aya-Moreno C; Penev S, 2023, 'Hellinger-Bhattacharyya cross-validation for shape-preserving multivariate wavelet thresholding', in Flexible nonparametric curve estimation

Geenens G, 2011, 'A Nonparametric Functional Method for Signature Recognition', in Ferraty F (ed.), Recent Advances in Functional Data Analysis and Related Topics, Springer

Journal articles

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

Conference Papers

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

Working Papers

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

Preprints

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

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