Central limit theorem under the Dedecker-Rio condition in some Banach spaces

Fuente: arXiv
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Autor principal: Bigot, Aurélie
Formato: Preprint
Publicado: 2023
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author Bigot, Aurélie
author_facet Bigot, Aurélie
contents We extend the central limit theorem under the Dedecker-Rio condition to adapted stationary and ergodic sequences of random variables taking values in a class of smooth Banach spaces. This result applies to the case of random variables taking values in $L^p(μ)$, with $2 \leq p < \infty$ and $μ$ a $σ$-finite real measure. As an application we give a sufficient condition for empirical processes indexed by Sobolev balls to satisfy the central limit theorem, and discuss about the optimality of these conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2307_01564
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Central limit theorem under the Dedecker-Rio condition in some Banach spaces
Bigot, Aurélie
Probability
We extend the central limit theorem under the Dedecker-Rio condition to adapted stationary and ergodic sequences of random variables taking values in a class of smooth Banach spaces. This result applies to the case of random variables taking values in $L^p(μ)$, with $2 \leq p < \infty$ and $μ$ a $σ$-finite real measure. As an application we give a sufficient condition for empirical processes indexed by Sobolev balls to satisfy the central limit theorem, and discuss about the optimality of these conditions.
title Central limit theorem under the Dedecker-Rio condition in some Banach spaces
topic Probability
url https://arxiv.org/abs/2307.01564