On the Glivenko-Cantelli theorem for real-valued empirical functions of stationary $α$-mixing and $β$-mixing sequences

Fuente: arXiv
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Autores principales: Coulibaly, Ousmane, Sangaré, Harouna
Formato: Preprint
Publicado: 2025
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author Coulibaly, Ousmane
Sangaré, Harouna
author_facet Coulibaly, Ousmane
Sangaré, Harouna
contents In this paper we extend the classical Glivenko-Cantelli theorem to real-valued empirical functions under dependence structures characterised by $α$-mixing and $β$-mixing conditions. We investigate sufficient conditions ensuring that families of real-valued functions exhibit the Glivenko-Cantelli (GC) property in these dependence settings. Our analysis focuses on function classes satisfying uniform entropy conditions and establishes deviation bounds under mixing coefficients that decay at appropriate rates. Our results refine the existing literature by relaxing the independence assumptions and highlighting the role of dependence in empirical process convergence.
format Preprint
id arxiv_https___arxiv_org_abs_2502_20206
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the Glivenko-Cantelli theorem for real-valued empirical functions of stationary $α$-mixing and $β$-mixing sequences
Coulibaly, Ousmane
Sangaré, Harouna
Statistics Theory
62G20, 62G30, 60F99, 60G1
In this paper we extend the classical Glivenko-Cantelli theorem to real-valued empirical functions under dependence structures characterised by $α$-mixing and $β$-mixing conditions. We investigate sufficient conditions ensuring that families of real-valued functions exhibit the Glivenko-Cantelli (GC) property in these dependence settings. Our analysis focuses on function classes satisfying uniform entropy conditions and establishes deviation bounds under mixing coefficients that decay at appropriate rates. Our results refine the existing literature by relaxing the independence assumptions and highlighting the role of dependence in empirical process convergence.
title On the Glivenko-Cantelli theorem for real-valued empirical functions of stationary $α$-mixing and $β$-mixing sequences
topic Statistics Theory
62G20, 62G30, 60F99, 60G1
url https://arxiv.org/abs/2502.20206