Complete convergence for weighted sums of widely negative orthant dependent random variables under the sub-linear expectations

被引：0

作者：

Huang, Lizhen ^{[1
,2
]}

Wu, Qunying ^{[1
,2
]}

机构：

[1] Guilin Univ Technol, Coll Sci, Guilin, Peoples R China

[2] Guangxi Coll & Univ Key Lab Appl Stat, Guilin 541004, Peoples R China

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2025年 / 54卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Complete convergence; the weighted sums; widely negative orthant dependent random variables; sub-linear expectations; COMPLETE MOMENT CONVERGENCE; INEQUALITIES; LAWS; ARRAYS;

D O I：

10.1080/03610926.2024.2307454

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article, we study and establish complete convergence for widely negative orthant dependent random variables under the sub-linear expectations, which extend some complete convergence theorems for widely negative orthant dependent random variables from the classical probability space to sub-linear expectation space.

引用

页码：230 / 241

页数：12

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