On the Law of the Iterated Logarithm for m-dependent stationary random variables under sub-linear expectations

Fuente: arXiv
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Autori principali: Gu, Wang-Yun, Zhang, Li-Xin
Natura: Preprint
Pubblicazione: 2025
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author Gu, Wang-Yun
Zhang, Li-Xin
author_facet Gu, Wang-Yun
Zhang, Li-Xin
contents This paper explores the Law of the Iterated Logarithm (LIL) for $m$-dependent sequences under the framework of sub-linear expectations. We first extend existing LIL results to sequences of independent, non-identically distributed random variables under sub-linear expectations. This extension serves as a crucial intermediary step, facilitating the subsequent establishment of the LIL for $m$-dependent stationary sequences. On the other hand, we also establish necessary conditions for $m$-dependent sequences in sub-linear expectation spaces.
format Preprint
id arxiv_https___arxiv_org_abs_2506_10522
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the Law of the Iterated Logarithm for m-dependent stationary random variables under sub-linear expectations
Gu, Wang-Yun
Zhang, Li-Xin
Probability
60F15
This paper explores the Law of the Iterated Logarithm (LIL) for $m$-dependent sequences under the framework of sub-linear expectations. We first extend existing LIL results to sequences of independent, non-identically distributed random variables under sub-linear expectations. This extension serves as a crucial intermediary step, facilitating the subsequent establishment of the LIL for $m$-dependent stationary sequences. On the other hand, we also establish necessary conditions for $m$-dependent sequences in sub-linear expectation spaces.
title On the Law of the Iterated Logarithm for m-dependent stationary random variables under sub-linear expectations
topic Probability
60F15
url https://arxiv.org/abs/2506.10522