Convergence of linear processes generated by negatively dependent random variables under sub-linear expectations

被引：4

作者：

Xu, Mingzhou ^{[1
]}

Cheng, Kun ^{[1
]}

Yu, Wangke ^{[1
]}

机构：

[1] Jingdezhen Ceram Univ, Sch Informat Engn, Jingdezhen 333403, Peoples R China

来源：

JOURNAL OF INEQUALITIES AND APPLICATIONS | 2023年 / 2023卷 / 01期

关键词：

Negatively dependent random variables; Linear processes; Complete convergence; Complete moment convergence; Sub-linear expectation; INDEPENDENT RANDOM-VARIABLES; LARGE NUMBERS; LIMIT-THEOREMS; WEIGHTED SUMS; LAW; INEQUALITIES;

D O I：

10.1186/s13660-023-02990-6

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we study the complete convergence and complete moment convergence of linear processes generated by negatively dependent random variables under sub-linear expectations. The obtained results complement the ones of Meng, Wang, and Wu (Commun. Stat., Theory Methods 52(9):2931-2945, 2023) in the case of negatively dependent random variables under sub-linear expectations.

引用

页数：20

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