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math.ST2026

Testing axial symmetry around an unspecified direction

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

We consider the problem of testing whether a multivariate distribution is axially symmetric about some unknown direction. Under a simple-spectrum assumption on the covariance matri…

math.ST2026

Conformal Robust Set Estimation

Alejandro Cholaquidis, Emilien Joly, Leonardo Moreno

Conformal prediction provides finite-sample, distribution-free coverage under exchangeability, but standard constructions may lack robustness in the presence of outliers or heavy t…

math.ST2025

Estimating axial symmetry using random projections

Alejandro Cholaquidis, Ricardo Fraiman, Manuel Hernández-Banadik +1

This paper studies the problem of identifying directions of axial symmetry in multivariate distributions. Theoretical results are derived on how the measure or cardinality of the s…

math.ST2025

On consistent estimation of dimension values

Alejandro Cholaquidis, Antonio Cuevas, Beatriz Pateiro-López

The problem of estimating, from a random sample of points, the dimension of a compact subset of the Euclidean space is considered. The emphasis is put on consistency results in…

math.ST2025

Depth based trimmed means

Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno +1

Robust estimation of location is a fundamental problem in statistics, particularly in scenarios where data contamination by outliers or model misspecification is a concern. In univ…

math.ST2025

On standardness and the non-estimability of certain functionals of a set

Alejandro Cholaquidis, Leonardo Moreno, Beatriz Pateiro-López

Standardness is a popular assumption in the literature on set estimation. It also appears in statistical approaches to topological data analysis, where it is common to assume that…