activity
20172021
most citedGoodness-of-fit tests for functional linear models based on integrated projections

6 citations · 7 across the 4 of their papers we have counts for

collaborators

13 papers

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

A review of goodness-of-fit tests for models involving functional data

Wenceslao González-Manteiga, Rosa M. Crujeiras, Eduardo García-Portugués

A sizable amount of goodness-of-fit tests involving functional data have appeared in the last decade. We provide a relatively compact revision of most of these contributions, withi…

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…

stat.ME2020

On a projection-based class of uniformity tests on the hypersphere

Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos

We propose a projection-based class of uniformity tests on the hypersphere using statistics that integrate, along all possible directions, the weighted quadratic discrepancy betwee…

stat.ME2020★ 6 cited

Goodness-of-fit tests for functional linear models based on integrated projections

Eduardo García-Portugués, Javier Álvarez-Liébana, Gonzalo Álvarez-Pérez +1

Functional linear models are one of the most fundamental tools to assess the relation between two random variables of a functional or scalar nature. This contribution proposes a go…

stat.ME2020

A Cramér-von Mises test of uniformity on the hypersphere

Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos

Testing uniformity of a sample supported on the hypersphere is one of the first steps when analysing multivariate data for which only the directions (and not the magnitudes) are of…