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 | |
【 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
【 预 览 】
Files | Size | Format | View |
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RO202302200002792ZK.pdf | 267KB | download |