Complete moment convergence and Lr convergence for asymptotically almost negatively associated random variables

2016 ◽  
Vol 46 (20) ◽  
pp. 10373-10386 ◽  
Author(s):  
Mengmei Xi ◽  
Xufei Tang ◽  
Junjie Lin ◽  
Ming Wang ◽  
Xuejun Wang
Filomat ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 633-644
Author(s):  
Dawei Lu ◽  
Jingyao Cong ◽  
Yanchun Yang

In this article, we investigate the complete convergence and complete moment convergence for maximal partial sums of asymptotically almost negatively associated random variables under the sublinear expectations. The results obtained in the article are the extensions of the complete convergence and complete moment convergence under classical linear expectation space.


2012 ◽  
Vol 2012 ◽  
pp. 1-12
Author(s):  
Mingle Guo ◽  
Dongjin Zhu

The complete moment convergence of weighted sums for arrays of rowwise negatively associated random variables is investigated. Some sufficient conditions for complete moment convergence of weighted sums for arrays of rowwise negatively associated random variables are established. Moreover, the results of Baek et al. (2008), are complemented. As an application, the complete moment convergence of moving average processes based on a negatively associated random sequences is obtained, which improves the result of Li et al. (2004).


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