Select Publications

Book Chapters

Geenens G, 2011, 'A Nonparametric Functional Method for Signature Recognition', in Ferraty F (ed.), Recent Advances in Functional Data Analysis and Related Topics, PHYSICA-VERLAG GMBH & CO, pp. 141 - 147

Journal articles

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, vol. 181, pp. 1009 - 1031,

Aya Moreno C; Geenens G; Penev SI, 2018, 'Shape-preserving wavelet-based multivariate density estimation', Journal of Multivariate Analysis, vol. 168, pp. 30 - 47,

Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, vol. 54, pp. 1252 - 1280,

Geenens G; Wang C, 2018, 'Local-likelihood transformation kernel density estimation for positive random variables', Journal of Computational and Graphical Statistics, vol. 27, pp. 822 - 835,

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, vol. 23, pp. 1848 - 1873,

Geenens G, 2015, 'Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression', Statistics and Probability Letters, vol. 107, pp. 369 - 377,

Geenens G, 2014, 'On the decisiveness of a game in a tournament', European Journal of Operational Research, vol. 232, pp. 156 - 168,

Geenens G, 2014, 'Explicit formula for asymptotic higher moments of the Nadaraya-Watson estimator', Sankhya, the Indian Journal of Statistics - Series A, vol. 76, pp. 77 - 100,

Geenens G, 2014, 'Explicit Formula for Asymptotic Higher Moments of the Nadaraya-Watson Estimator', SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, vol. 76, pp. 77 - 100,

Geenens G, 2013, 'Probit transformation for kernel density estimation on the unit interval', Journal of the American Statistical Association, vol. 109, pp. 346 - 358,

Hui FKC; Geenens G, 2013, 'A nonparametric measure of local association for two-way contingency tables', Computational Statistics and Data Analysis, vol. 68, pp. 98 - 110,

Hui FKC; Geenens G, 2012, 'Nonparametric bootstrap tests of conditional independence in two-way contingency tables', Journal of Multivariate Analysis, vol. 112, pp. 130 - 144,

Geenens G, 2011, 'Curse of dimensionality and related issues in nonparametric functional regression', Statistics Surveys, vol. 5, pp. 30 - 43,

Geenens G; Simar L, 2010, 'Nonparametric tests for conditional independence in two-way contingency tables', Journal of Multivariate Analysis, vol. 101, pp. 765 - 788,

Geenens G; Simar L, 2010, 'Single-index modelling of conditional probabilities in two-way contingency tables', Statistics, pp. 1 - 28,

Geenens G, 2010, 'Who deserved the 2008-2009 Belgian Football Champion title? A semiparametric Answer', Journal of Quantitative Analysis in Sports, vol. 6, pp. article 4,

Geenens G; Delecroix M, 2006, 'A survey about Single-Index Models theory', International Journal of Statistics and Systems, vol. 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

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,

Geenens G; Lafaye de Micheaux P, 2018, The Hellinger Correlation,

Geenens G; Dunn R, 2017, A nonparametric copula approach to conditional Value-at-Risk,

Geenens G, 2017, Mellin-Meijer-kernel density estimation on R+, arXiv:1707.04301,

Geenens G; Simar L, 2005, Index coefficients estimation in Single-Index Models: the Generalized Maximum Rank Correlation estimator, DP0535,

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