5 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ME2025
A generalized distance covariance framework for genome-wide association studies
Dominic Edelmann, Fernando Castro-Prado, Jelle J. Goeman
When testing for the association of a single SNP with a phenotypic response, one usually considers an additive genetic model, assuming that the mean of of the response for the hete…
stat.ME2024
Nonparametric independence tests in high-dimensional settings, with applications to the genetics of complex disease
Fernando Castro-Prado
[PhD thesis of FCP.] Nowadays, genetics studies large amounts of very diverse variables. Mathematical statistics has evolved in parallel to its applications, with much recent inter…
math.ST2020★ 5 cited
Nonparametric independence tests in metric spaces: What is known and what is not
Fernando Castro-Prado, Wenceslao González-Manteiga
Distance correlation is a recent extension of Pearson's correlation, that characterises general statistical independence between Euclidean-space-valued random variables, not only l…