Complete convergence for weighted sums of negatively dependent random variables under the sub-linear expectations

In this article, we study complete convergence theorems for weighted sums of negatively dependent random variables under the sub-linear expectations. Our results extend the corresponding results of Sung ( 2012 ) relative to the classical probability.

Saved in:
Bibliographic Details
Published in:Communications in statistics. Theory and methods 2019-03, Vol.48 (6), p.1351-1366
Main Authors: Feng, Feng-Xiang, Wang, Ding-Cheng, Wu, Qun-Ying
Format: Article
Language:English
Subjects:
complete convergence
negatively dependent random variables
sub-linear expectations
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, we study complete convergence theorems for weighted sums of negatively dependent random variables under the sub-linear expectations. Our results extend the corresponding results of Sung ( 2012 ) relative to the classical probability.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2018.1429632