AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (264.7 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Complete convergence for weighted sums of negatively dependent random variables under sub-linear expectations

Mingzhou Xu( )Kun ChengWangke Yu
School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, China
Show Author Information

Abstract

In this article, we study complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations. The results obtained in sub-linear expectation spaces extend the corresponding ones in probability space.

CLC number: 60F05, 60F15

References

【1】
【1】
 
 
AIMS Mathematics
Pages 19998-20019

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Xu M, Cheng K, Yu W. Complete convergence for weighted sums of negatively dependent random variables under sub-linear expectations. AIMS Mathematics, 2022, 7(11): 19998-20019. https://doi.org/10.3934/math.20221094

62

Views

1

Downloads

9

Crossref

10

Web of Science

12

Scopus

Received: 03 July 2022
Revised: 25 August 2022
Accepted: 05 September 2022
Published: 15 November 2022
©2022 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)