Results 31 to 40 of about 3,803,285 (268)

On complete moment convergence for weighted sums of negatively superadditive dependent random variables [PDF]

, 2020
summary:In this work, the complete moment convergence and complete convergence for weighted sums of negatively superadditive dependent (NSD) random variables are studied, and some equivalent conditions of these strong convergences are established.
Huang, Haiwu, Lu, Xuewen
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Rate of complete second-order moment convergence and theoretical applications

Journal of Taibah University for Science, 2022
The purpose of this work is to present a novel mode of convergence, complete second-order moment convergence with rate, which implies almost complete convergence and gives a smaller rate of convergence.
M. Madi, I. Laroussi
doaj   +1 more source

Complete f-moment convergence for negatively superadditive dependent random variables [PDF]

, 2023
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, Wang, L, Kem ng Yu, Yu, K, Hu, X, Li liu Wang   +5 more
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Complete moment convergence of extended negatively dependent random variables

Journal of Inequalities and Applications, 2020
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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Convergence rates in precise asymptotics for a kind of complete moment convergence [PDF]

Stochastics and Dynamics, 2017
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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Complete convergence and complete moment convergence for weighted sums of m-extended negatively dependent random variables

Journal of Mathematical Inequalities, 2023
Summary: The authors study the complete convergence and complete moment convergence for weighted sums of m-extended negatively dependent (m-END) random variables. The results obtained in this paper extend and improve the corresponding results of \textit{Y. Wu} et al. [J. Math. Inequal. 13, No. 1, 251--260 (2019; Zbl 1483.60050)] and \textit{H.
Huang, Xiang, Wu, Yongfeng
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Some strong convergence properties for arrays of rowwise ANA random variables

Journal of Inequalities and Applications, 2016
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, Mengqian Ouyang, Yuanying Jiang   +2 more
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Convergence for sums of i.i.d. random variables under sublinear expectations

Journal of Inequalities and Applications, 2021
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

Journal of Inequalities and Applications, 2018
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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Convergence of linear processes generated by negatively dependent random variables under sub-linear expectations

Journal of Inequalities and Applications, 2023
In this paper, we study the complete convergence and complete moment convergence of linear processes generated by negatively dependent random variables under sub-linear expectations. The obtained results complement the ones of Meng, Wang, and Wu (Commun.
Mingzhou Xu, Kun Cheng, Wangke Yu
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