activity
20192026
most citedA uniform kernel trick for high-dimensional two-sample problems

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

collaborators

5 papers

math.PR2026

A Functional Central Limit Theorem for Locally Stationary Time Series in Banach Spaces

Florian Heinrichs, Luis-Alberto Rodríguez

A functional central limit theorem for locally stationary time series taking values in a separable Banach space is established. The result does not require type-2 or cotype ass…

math.ST2026

Distributional Convergence of Empirical Entropic Optimal Transport and Statistical Applications

Santiago Arenas-Velilla, Axel Munk, Luis-Alberto Rodríguez

Recently, the statistical properties of empirical Entropic Optimal Transport (EOT) have attracted great interest, as this quantity has been shown to be useful for complex data anal…

math.ST2024

On uniqueness of the set of k-means

Javier Cárcamo, Antonio Cuevas, Luis A. Rodríguez

We provide necessary and sufficient conditions for the uniqueness of the k-means set of a probability distribution. This uniqueness problem is related to the choice of k: depending…

math.ST2022★ 4 cited

A uniform kernel trick for high-dimensional two-sample problems

Javier Cárcamo, Antonio Cuevas, Luis-Alberto Rodríguez

We use a suitable version of the so-called "kernel trick" to devise two-sample (homogeneity) tests, especially focussed on high-dimensional and functional data. Our proposal entail…

math.ST2019

Directional differentiability for supremum-type functionals: statistical applications

Javier Cárcamo, Luis-Alberto Rodríguez, Antonio Cuevas

We show that various functionals related to the supremum of a real function defined on an arbitrary set or a measure space are Hadamard directionally differentiable. We specificall…