Weak and strong law of large numbers for strictly stationary Banach-valued random fields

Fuente: arXiv
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Auteur principal: Giraudo, Davide
Format: Preprint
Publié: 2024
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author Giraudo, Davide
author_facet Giraudo, Davide
contents In this paper, we investigate the law of large numbers for strictly stationary random fields, that is, we provide sufficient conditions on the moments and the dependence of the random field in order to guarantee the almost sure convergence to $0$ and the convergence in $\mathbb L^p$ of partials sums over squares or rectangles of $\mathbb Z^d$. Approximation by multi-indexed martingales as well as by $m$-dependent random fields are investigated. Applications to functions of $d$-independent Bernoulli shifts and to functionals of i.i.d.\ random fields are also provided.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07535
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Weak and strong law of large numbers for strictly stationary Banach-valued random fields
Giraudo, Davide
Probability
In this paper, we investigate the law of large numbers for strictly stationary random fields, that is, we provide sufficient conditions on the moments and the dependence of the random field in order to guarantee the almost sure convergence to $0$ and the convergence in $\mathbb L^p$ of partials sums over squares or rectangles of $\mathbb Z^d$. Approximation by multi-indexed martingales as well as by $m$-dependent random fields are investigated. Applications to functions of $d$-independent Bernoulli shifts and to functionals of i.i.d.\ random fields are also provided.
title Weak and strong law of large numbers for strictly stationary Banach-valued random fields
topic Probability
url https://arxiv.org/abs/2402.07535