Regular biography
Dr Gery Geenens is a Senior Lecturer in the School of Mathematics & Statistics at The University of New South Wales. He holds the title A/Prof Statistics H13-E-2053 9385 7032 ggeenens. His research focuses on nonparametric and semiparametric methods, including nonparametric regression models, semiparametric regression models, nonparametric copula models, and nonparametric methods for functional data analysis. He completed his PhD in Sciences (Statistics) from the Université catholique de Louvain, Belgium, in 2008, and joined UNSW Sydney in 2009 after a post-doctoral position at the University of Melbourne. His work addresses challenges in high-dimensional data and provides data-driven approaches for smoothing parameter selection.
Scholar-generated biography
Gery Geenens is a researcher at UNSW Sydney specializing in nonparametric statistical methods. His work focuses on functional regression, copula modeling, kernel density estimation, and statistical depth in abstract spaces. He explores challenges like the curse of dimensionality and develops data-driven approaches for model uncertainty estimation. His research also includes nonparametric tests for conditional independence, Value-at-Risk analysis, and wavelet-based density estimation. Geenens contributes to understanding statistical dependence and has examined applications in fields such as hydrology and sports analytics. His publications highlight methodological innovations for handling complex data structures and improving statistical inference.