Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations

Suppose that $ \{a_i, -\infty < i < \infty\} $ is an absolutely summable set of real numbers, $ \{Y_i, -\infty < i < \infty\} $ is a subset of identically distributed, negatively dependent random variables under sub-linear expectations. Here, we get complete convergence a...

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Main Author: Mingzhou Xu
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023871?viewType=HTML
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author Mingzhou Xu
author_facet Mingzhou Xu
author_sort Mingzhou Xu
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description Suppose that $ \{a_i, -\infty < i < \infty\} $ is an absolutely summable set of real numbers, $ \{Y_i, -\infty < i < \infty\} $ is a subset of identically distributed, negatively dependent random variables under sub-linear expectations. Here, we get complete convergence and Marcinkiewicz-Zygmund strong law of large numbers for the partial sums of moving average processes $ \{X_n = \sum_{i = -\infty}^{\infty}a_{i}Y_{i+n}, n\ge 1\} $ produced by $ \{Y_i, -\infty < i < \infty\} $ of identically distributed, negatively dependent random variables under sub-linear expectations, complementing the relevant results in probability space.
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spelling doaj.art-978f19eb978149b08490d807ebb7a7f62023-05-31T00:59:46ZengAIMS PressAIMS Mathematics2473-69882023-05-0187170671708010.3934/math.2023871Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectationsMingzhou Xu0School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, ChinaSuppose that $ \{a_i, -\infty < i < \infty\} $ is an absolutely summable set of real numbers, $ \{Y_i, -\infty < i < \infty\} $ is a subset of identically distributed, negatively dependent random variables under sub-linear expectations. Here, we get complete convergence and Marcinkiewicz-Zygmund strong law of large numbers for the partial sums of moving average processes $ \{X_n = \sum_{i = -\infty}^{\infty}a_{i}Y_{i+n}, n\ge 1\} $ produced by $ \{Y_i, -\infty < i < \infty\} $ of identically distributed, negatively dependent random variables under sub-linear expectations, complementing the relevant results in probability space. https://www.aimspress.com/article/doi/10.3934/math.2023871?viewType=HTMLcomplete moment convergencecomplete convergencenegatively dependent random variablessub-linear expectations
spellingShingle Mingzhou Xu
Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
AIMS Mathematics
complete moment convergence
complete convergence
negatively dependent random variables
sub-linear expectations
title Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
title_full Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
title_fullStr Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
title_full_unstemmed Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
title_short Complete convergence of moving average processes produced by negatively dependent random variables under sub-linear expectations
title_sort complete convergence of moving average processes produced by negatively dependent random variables under sub linear expectations
topic complete moment convergence
complete convergence
negatively dependent random variables
sub-linear expectations
url https://www.aimspress.com/article/doi/10.3934/math.2023871?viewType=HTML
work_keys_str_mv AT mingzhouxu completeconvergenceofmovingaverageprocessesproducedbynegativelydependentrandomvariablesundersublinearexpectations