By Dr Gery Geenens

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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