Results 11 to 20 of about 188,891 (256)

Convergence of Opinion Diffusion is PSPACE-Complete [PDF]

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
We analyse opinion diffusion in social networks, where a finite set of individuals is connected in a directed graph and each simultaneously changes their opinion to that of the majority of their influencers. We study the algorithmic properties of the fixed-point behaviour of such networks, showing that the problem of establishing whether individuals ...
Dmitry Chistikov 0001, Grzegorz Lisowski, Mike Paterson, Paolo Turrini   +3 more
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Complete convergence and complete moment convergence for arrays of rowwise ANA random variables

Journal of Inequalities and Applications, 2016
In this article, we investigate complete convergence and complete moment convergence for weighted sums of arrays of rowwise asymptotically negatively associated (ANA) random variables.
Haiwu Huang, Jiangyan Peng, Xiongtao Wu, Bin Wang   +3 more
doaj   +1 more source

Completeness of unbounded convergences [PDF]

Proceedings of the American Mathematical Society, 2018
As a generalization of almost everywhere convergence to vector lattices, unbounded order convergence has garnered much attention. The concept of boundedly uo-complete Banach lattices was introduced by N. Gao and F. Xanthos, and has been studied in recent papers by D. Leung, V.G. Troitsky, and the aforementioned authors.
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Complete convergence and complete moment convergence for a class of random variables [PDF]

Journal of Inequalities and Applications, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Xinghui, Hu, Shuhe
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A note on the convergence rates in precise asymptotics

Journal of Inequalities and Applications, 2019
Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $EX=0$, EX2=σ2 $EX^{2}=\sigma^{2}$. Set Sn=∑k=1nXk $S_{n}=\sum_{k=1}^{n}X_{k}$ and let N ${\mathcal {N} }$ be the standard normal random variable. Let g(x) $g(x)$ be
Yong Zhang
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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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On the convergence of Baum-Katz series for sums of linear 2-nd order autoregressive sequences

Науковий вісник Ужгородського університету. Серія: Математика і інформатика, 2022
We consider complete convergence and closely related Hsu-Robbins-Erdos-Spitzer-Baum-Katz series for sums whose terms are elements of a linear 2-nd order autoregressive sequences of random variables and prove sufficient conditions for the convergence of ...
М. К. Ільєнко, А. Ю. Поліщук   +1 more
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Theorems of complete convergence and complete integral convergence for END random variables under sub-linear expectations

Journal of Inequalities and Applications, 2019
The goal of this paper is to build complete convergence and complete integral convergence for END sequences of random variables under sub-linear expectation space.
Ziwei Liang, Qunying Wu
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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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The Marcinkiewicz–Zygmund-Type Strong Law of Large Numbers with General Normalizing Sequences under Sublinear Expectation

Mathematics, 2023
In this paper we study the Marcinkiewicz–Zygmund-type strong law of large numbers with general normalizing sequences under sublinear expectation. Specifically, we establish complete convergence in the Marcinkiewicz–Zygmund-type strong law of large ...
Shuxia Guo, Zhe Meng
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