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Complete moment convergence of extended negatively dependent random variables
In this paper, some results on the complete moment convergence of extended negatively dependent (END) random variables are established. The results in the paper improve and extend the corresponding ones of Qiu et al. (Acta Math. Appl. Sin. 40(3):436–448,
Mingzhu Song, Quanxin Zhu
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Complete f-moment convergence for negatively superadditive dependent random variables [PDF]
Mathematics subject classification (2020): 60F15.Copyright © the author(s). In this paper, by utilizing the Kolmogorov exponential type inequality of negatively superadditive dependent random arrays and truncated method, we study the complete f -moment ...
Xuep ng Hu +5 more
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In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations.
Ming-Zhou Xu, Xuhang Kong
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Convergence rates in precise asymptotics for a kind of complete moment convergence [PDF]
Liu and Lin (Statist. Probab. Lett. 2006) introduced a kind of complete moment convergence which includes complete convergence as a special case. In this paper, we study the convergence rates of the precise asymptotics for complete moment convergence introduced by Liu and Lin (2006) and get the corresponding convergence rates.
Kong, Lingtao, Dai, Hongshuai
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Some strong convergence properties for arrays of rowwise ANA random variables
In this paper, some complete convergence, complete moment convergence, and mean convergence results for arrays of rowwise asymptotically negatively associated (ANA) random variables are obtained. These theorems not only generalize some well-known ones to
Haiwu Huang +2 more
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Convergence for sums of i.i.d. random variables under sublinear expectations
In this paper, we obtain equivalent conditions of complete moment convergence of the maximum for partial weighted sums of independent identically distributed random variables under sublinear expectations space.
Mingzhou Xu, Kun Cheng
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Strong convergence theorems for coordinatewise negatively associated random vectors in Hilbert space
In this work, some strong convergence theorems are established for weighted sums of coordinatewise negatively associated random vectors in Hilbert spaces. The results obtained in this paper improve and extend the corresponding ones of Huan et al.
Xiang Huang, Yongfeng Wu
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On complete moment convergence for weighted sums under negatively associated setup
. In this work, the complete moment convergence for weighted sums of negatively associated random variables is discussed without assumptions of identical distribution. Under the moment condition E | X | / ( log ( 1 + | X | )) / − 1 < for the case
Hai-Wu Huang, Yanc Un Yi, Xiong-Ao Wu
semanticscholar +1 more source
Complete moment convergence for ND random variables under the sub-linear expectations
In this article, we establish a general result on complete moment convergence for arrays of rowwise negatively dependent(ND) random variables under the sub-linear expectations.
Feng-xiang Feng, Ding Wang, Qun-Ying Wu
semanticscholar +1 more source

