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Research Article | Open Access

Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations

Mingzhou Xu( )Xuhang Kong
School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, China
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Abstract

In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. As applications, we obtain the Marcinkiewcz-Zygmund type strong law of large numbers of ND random variables under sub-linear expectations. The results here generalize the corresponding ones in classic probability space to those under sub-linear expectations.

CLC number: 60F15, 60F05

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AIMS Mathematics
Pages 8504-8521

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Cite this article:
Xu M, Kong X. Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations. AIMS Mathematics, 2023, 8(4): 8504-8521. https://doi.org/10.3934/math.2023428

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Received: 12 November 2022
Revised: 18 January 2023
Accepted: 28 January 2023
Published: 15 April 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)