期刊论文详细信息
AIMS Mathematics
Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
article
Mingzhou Xu1  Xuhang Kong1 
[1] School of Information Engineering, Jingdezhen Ceramic University
关键词: negatively dependent random variables;    complete convergence;    complete moment convergence;    sub-linear expectations;   
DOI  :  10.3934/math.2023428
学科分类:地球科学(综合)
来源: AIMS Press
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【 摘 要 】

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.

【 授权许可】

CC BY   

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