Some Types of Convergence for Negatively Dependent Random Variables under Sublinear Expectations

被引：4
|
作者：
Wang, Ruixue [1 ]
Wu, Qunying [1 ]
机构：
[1] Guilin Univ Technol, Coll Sci, Guilin 541004, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2019年 / 2019卷
基金：
中国国家自然科学基金;
关键词：
COMPLETE MOMENT CONVERGENCE; SUB-LINEAR EXPECTATIONS; CENTRAL-LIMIT-THEOREM; WEIGHTED SUMS; STOCHASTIC CALCULUS; BROWNIAN-MOTION; INEQUALITIES; LAWS;
D O I：
10.1155/2019/9037258
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, we research complete convergence and almost sure convergence under the sublinear expectations. As applications, we extend some complete and almost sure convergence theorems for weighted sums of negatively dependent random variables from the traditional probability space to the sublinear expectation space.
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页数：7
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