Distribution-uniform strong laws of large numbers

Fuente: arXiv
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Autores principales: Waudby-Smith, Ian, Larsson, Martin, Ramdas, Aaditya
Formato: Preprint
Publicado: 2024
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author Waudby-Smith, Ian
Larsson, Martin
Ramdas, Aaditya
author_facet Waudby-Smith, Ian
Larsson, Martin
Ramdas, Aaditya
contents We revisit the question of whether the strong law of large numbers (SLLN) holds uniformly in a rich family of distributions, culminating in a distribution-uniform generalization of the Marcinkiewicz-Zygmund SLLN. These results can be viewed as extensions of Chung's distribution-uniform SLLN to random variables with uniformly integrable $q^\text{th}$ absolute central moments for $0 < q < 2$. Furthermore, we show that uniform integrability of the $q^\text{th}$ moment is both sufficient and necessary for the SLLN to hold uniformly at the Marcinkiewicz-Zygmund rate of $n^{1/q - 1}$. These proofs centrally rely on novel distribution-uniform analogues of some familiar almost sure convergence results including the Khintchine-Kolmogorov convergence theorem, Kolmogorov's three-series theorem, a stochastic generalization of Kronecker's lemma, and the Borel-Cantelli lemmas. We also consider the non-identically distributed case.
format Preprint
id arxiv_https___arxiv_org_abs_2402_00713
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distribution-uniform strong laws of large numbers
Waudby-Smith, Ian
Larsson, Martin
Ramdas, Aaditya
Probability
Statistics Theory
We revisit the question of whether the strong law of large numbers (SLLN) holds uniformly in a rich family of distributions, culminating in a distribution-uniform generalization of the Marcinkiewicz-Zygmund SLLN. These results can be viewed as extensions of Chung's distribution-uniform SLLN to random variables with uniformly integrable $q^\text{th}$ absolute central moments for $0 < q < 2$. Furthermore, we show that uniform integrability of the $q^\text{th}$ moment is both sufficient and necessary for the SLLN to hold uniformly at the Marcinkiewicz-Zygmund rate of $n^{1/q - 1}$. These proofs centrally rely on novel distribution-uniform analogues of some familiar almost sure convergence results including the Khintchine-Kolmogorov convergence theorem, Kolmogorov's three-series theorem, a stochastic generalization of Kronecker's lemma, and the Borel-Cantelli lemmas. We also consider the non-identically distributed case.
title Distribution-uniform strong laws of large numbers
topic Probability
Statistics Theory
url https://arxiv.org/abs/2402.00713