activity
20112025
most citedOptimal rank-based testing for principal components

69 citations · 222 across the 18 of their papers we have counts for

collaborators

25 papers

math.ST2025

High-dimensional Sobolev tests on hyperspheres

Bruno Ebner, Eduardo García-Portugués, Thomas Verdebout

We derive the limit null distribution of the class of Sobolev tests of uniformity on the hypersphere as the dimension and the sample size diverge to infinity at arbitrary rates. Th…

math.ST2022

Nonparametric Measure-Transportation-Based Methods for Directional Data

Marc Hallin, Hang Liu, Thomas Verdebout

This paper proposes various nonparametric tools based on measure transportation for directional data. We use optimal transports to define new notions of distribution and quantile f…

math.ST2021★ 1 cited

On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers

Eduardo García-Portugués, Davy Paindaveine, Thomas Verdebout

We consider a class of symmetry hypothesis testing problems including testing isotropy on and testing rotational symmetry on the hypersphere . For…

stat.ME2021

Nonparametric tests of independence for circular data based on trigonometric moments

Eduardo García-Portugués, Pierre Lafaye de Micheaux, Simos G. Meintanis +1

We introduce nonparametric tests of independence for bivariate circular data based on trigonometric moments. Our contributions lie in (i) proposing nonparametric tests that are loc…

math.ST2019

On the power of axial tests of uniformity on spheres

Christine Cutting, Davy Paindaveine, Thomas Verdebout

Testing uniformity on the -dimensional unit sphere is arguably the most fundamental problem in directional statistics. In this paper, we consider this problem in the framework o…

math.ST2019

Preliminary test estimation in ULAN models

Davy Paindaveine, Joséa Rasoafaraniaina, Thomas Verdebout

Preliminary test estimation, which is a natural procedure when it is suspected a priori that the parameter to be estimated might take value in a submodel of the model at hand, is a…