Open AccessSome Types of Convergence for Negatively Dependent Random Variables under Sublinear Expectations
Author(s) -
Ruixue Wang,
Qunying Wu
Publication year - 2019
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2019/9037258
Subject(s) - sublinear function , convergence (economics) , mathematics , space (punctuation) , convergence of random variables , random variable , discrete mathematics , statistics , computer science , economics , economic growth , operating system
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.