Results 251 to 260 of about 4,112,744 (305)
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Stochastics, 2023
In this work there is considered complete convergence and complete moment convergence for widely negative orthant dependent random variables under the sub-linear expectations.
A. Kuczmaszewska
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In this work there is considered complete convergence and complete moment convergence for widely negative orthant dependent random variables under the sub-linear expectations.
A. Kuczmaszewska
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Communications in Statistics - Theory and Methods, 2023
In this article, we mainly investigate the complete convergence and complete moment convergence for arrays of rowwise asymptotically almost negatively associated (AANA, in short) random variables. First, some exponential inequalities are presented.
A. Shen, Rui Wang
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In this article, we mainly investigate the complete convergence and complete moment convergence for arrays of rowwise asymptotically almost negatively associated (AANA, in short) random variables. First, some exponential inequalities are presented.
A. Shen, Rui Wang
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Complete convergence and complete moment convergence for widely orthant-dependent random variables
Communications in Statistics - Theory and Methods, 2016In this paper, we first establish the complete convergence for weighted sums of widely orthant-dependent (WOD, in short) random variables by using the Rosenthal type maximal inequality.
Yang Ding +4 more
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Complete moment convergence and complete convergence for weighted sums of NSD random variables
Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deng, Xin +3 more
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On complete moment convergence for the maximal weighted sums of NSD random variables
Communications in Statistics - Theory and Methods, 2023In this article, the complete moment convergence for weighted sums of non-identically distributed negatively superadditive dependent (NSD) random variables is investigated.
Hai-Wu Huang +3 more
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Complete moment convergence for moving average process based on m-WOD random variables
Communications in Statistics - Theory and Methods, 2022In this paper, some results on complete moment convergence of moving average process generated by m-WOD random variables are established. The results improve and extend some corresponding ones in the literature.
Rui Wang, A. Shen
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Communications in Statistics - Theory and Methods
. In this article, we establish results on complete convergence and complete moment convergence for maximal randomly weighted sums of m-widely orthant dependent (m-WOD, for short) random variables.
Zi-Qing Zhang +4 more
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. In this article, we establish results on complete convergence and complete moment convergence for maximal randomly weighted sums of m-widely orthant dependent (m-WOD, for short) random variables.
Zi-Qing Zhang +4 more
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Complete moment convergence for maximum of randomly weighted sums of martingale difference sequences
Stochastics, 2022In this paper, complete moment convergence for maximum of randomly weighted sums and complete convergence for randomly indexed sums of martingale difference sequences (MDS) are investigated under some proper and sufficient conditions.
Zong-feng Qi, Jin-Yu Zhou, Ji-Gao Yan
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Academic Journal of Mathematical Sciences
: In probability theory, the convergence of dependent random variables is an extremely crucial concept, Complete moment convergence plays an important role in complete convergence, as it provides a more precise characterization of the convergence rate by
Yan-Chun Yi, Shuo Li
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: In probability theory, the convergence of dependent random variables is an extremely crucial concept, Complete moment convergence plays an important role in complete convergence, as it provides a more precise characterization of the convergence rate by
Yan-Chun Yi, Shuo Li
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Communications in statistics. Simulation and computation, 2022
In this article, the complete moment convergence for randomly weighted sums of negatively superadditive dependent (NSD, for short) random variables is studied. Several sufficient conditions of the complete moment convergence for randomly weighted sums of
Chao Lu +3 more
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In this article, the complete moment convergence for randomly weighted sums of negatively superadditive dependent (NSD, for short) random variables is studied. Several sufficient conditions of the complete moment convergence for randomly weighted sums of
Chao Lu +3 more
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