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
收藏
页码：230 / 241
页数：12
相关论文
共 50 条
12345