3 papers
stat.ML2026
Deep-testing: the case of dependence detection
Gery Geenens, Pierre Lafaye de Micheaux, Ivan Muyun Zou
Deep learning methods have proved highly effective for classification and image recognition problems. In this paper, we ask whether this success can be transferred to hypothesis te…
math.ST2025
The empirical discrete copula process
Gery Geenens, Ivan Kojadinovic, Tommaso Martini
This paper develops a general inferential framework for discrete copulas on finite supports in any dimension. The copula of a multivariate discrete distribution is defined as Csisz…
math.ST2025
On the differentiability of -projections in the discrete finite case
Gery Geenens, Ivan Kojadinovic, Tommaso Martini
In the case of finite measures on finite spaces, we state conditions under which Ï- projections are continuously differentiable. When the set on which one wishes to Ï- project is…