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Preprints

Geenens G; de Micheaux PL; Zou IM, 2026, Deep-testing: the case of dependence detection, http://dx.doi.org/10.48550/arxiv.2604.26558

Geenens G; Kojadinovic I; Martini T, 2025, The empirical discrete copula process, http://dx.doi.org/10.48550/arxiv.2506.12316

Geenens G; Kojadinovic I; Martini T, 2025, On the differentiability of $ϕ$-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://dx.doi.org/10.48550/arxiv.2312.08570

Geenens G, 2023, Towards a universal representation of statistical dependence, http://dx.doi.org/10.48550/arxiv.2302.08151

Aya-Moreno C; Geenens G; Penev S, 2022, Hellinger-Bhattacharyya cross-validation for shape-preserving multivariate wavelet thresholding, http://dx.doi.org/10.48550/arxiv.2204.13854

Geenens G; Nieto-Reyes A; Francisci G, 2021, Statistical depth in abstract metric spaces, http://dx.doi.org/10.48550/arxiv.2107.13779

Geenens G; Dunn R, 2019, A nonparametric copula approach to conditional Value-at-Risk, http://dx.doi.org/10.48550/arxiv.1712.05527

Geenens G, 2019, An essay on copula modelling for discrete random vectors; or how to pour new wine into old bottles, http://dx.doi.org/10.48550/arxiv.1901.08741

Geenens G; Lafaye de Micheaux P, 2018, The Hellinger Correlation, https://arxiv.org/abs/1810.10276

Moreno CA; Geenens G; Penev S, 2017, Shape-preserving wavelet-based multivariate density estimation, http://dx.doi.org/10.48550/arxiv.1708.08321

Geenens G, 2017, Mellin-Meijer-kernel density estimation on $\mathbb{R}^+$, http://dx.doi.org/10.48550/arxiv.1707.04301

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://dx.doi.org/10.48550/arxiv.1701.07555

Geenens G; Wang C, 2016, Local-likelihood transformation kernel density estimation for positive random variables, http://dx.doi.org/10.48550/arxiv.1602.04862

Geenens G; Charpentier A; Paindaveine D, 2014, Probit transformation for nonparametric kernel estimation of the copula density, http://dx.doi.org/10.48550/arxiv.1404.4414

Geenens G, 2013, Probit transformation for kernel density estimation on the unit interval, http://dx.doi.org/10.48550/arxiv.1303.4121

Geenens G, 2013, On the Decisiveness of a Game in a Tournament, http://dx.doi.org/10.2139/ssrn.2195409

Hui FKC; Geenens G, 2012, A Nonparametric Measure of Local Association for two-way Contingency Tables, http://dx.doi.org/10.48550/arxiv.1211.3460


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