activity
20072026
most citedGoodness-of-fit tests for the functional linear model based on randomly projected empirical processes

38 citations · 138 across the 16 of their papers we have counts for

collaborators
Showing math.STShow all

5 papers · 1 filter

math.ST2026

A bootstrap approach for testing invariance under parameterized group actions: orthogonal reflections and axial symmetry

Alejandro Cholaquidis, Juan Cuesta-Albertos, Ricardo Fraiman +1

Testing whether a multivariate distribution is invariant under an orthogonal transformation is a classical problem when the transformation is fixed in advance. We address a harder…

math.ST2021

The complex behaviour of Galton rank order statistic

E. del Barrio, J. A. Cuesta-Albertos, C. Matran

Galton's rank order statistic is one of the oldest statistical tools for two-sample comparisons. It is also a very natural index to measure departures from stochastic dominance. Ye…

math.ST2016

On Perfect Classification and Clustering for Gaussian Processes

Juan A. Cuesta-Albertos, Subhajit Dutta

In this paper, we propose a data based transformation for infinite-dimensional Gaussian processes and derive its limit theorem. For a classification problem, this transformation in…

math.ST2012★ 21 cited

Similarity of samples and trimming

Pedro C. Álvarez-Esteban, Eustasio del Barrio, Juan A. Cuesta-Albertos +1

We say that two probabilities are similar at level if they are contaminated versions (up to an fraction) of the same common probability. We show how this model is related t…

math.ST2008★ 19 cited

Trimming and likelihood: Robust location and dispersion estimation in the elliptical model

Juan A. Cuesta-Albertos, Carlos Matrán, Agustín Mayo-Iscar

Robust estimators of location and dispersion are often used in the elliptical model to obtain an uncontaminated and highly representative subsample by trimming the data outside an…