activity
20192024
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.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…

econ.EM2024

Tests for almost stochastic dominance

Amparo Baíllo, Javier Cárcamo, Carlos Mora-Corral

We introduce a 2-dimensional stochastic dominance (2DSD) index to characterize both strict and almost stochastic dominance. Based on this index, we derive an estimator for the mini…

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…

econ.EM2021

Extremal points of Lorenz curves and applications to inequality analysis

Amparo Baíllo, Javier Cárcamo, Carlos Mora-Corral

We find the set of extremal points of Lorenz curves with fixed Gini index and compute the maximal -distance between Lorenz curves with given values of their Gini coefficients.…

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…