Results 11 to 20 of about 169,110 (303)
AIMS Mathematics, 2022 Since the concept of sub-linear expectation space was put forward, it has well supplemented the deficiency of the theoretical part of probability space.
Chengcheng Jia, Qunying Wu
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AIMS Mathematics, 2023 In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations.
Mingzhou Xu, Xuhang Kong
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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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AIMS Mathematics, 2023 In the paper, the complete convergence and complete integral convergence for weighted sums of negatively dependent random variables under the sub-linear expectations are established.
Lunyi Liu, Qunying Wu
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AIMS Mathematics, 2022 In this article, we study complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations.
Mingzhou Xu , Kun Cheng, Wangke Yu
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Convergent Non Complete Interpolatory Quadrature Rules [PDF]
, 2021 We find a family of convergent schemes of nodes for non-complete interpolatory quadrature rules.
Fidalgo, U., Olson, J.
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AIMS Mathematics, 2023 Suppose that $ \{a_i, -\infty < i < \infty\} $ is an absolutely summable set of real numbers, $ \{Y_i, -\infty < i < \infty\} $ is a subset of identically distributed, negatively dependent random variables under sub-linear expectations. Here,
Mingzhou Xu
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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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Completions of uniform convergence spaces [PDF]
Proceedings of the American Mathematical Society, 1971 H. J. Biesterfeldt has shown that a uniform convergence space which satisfies the completion axiom has a completion. In the present paper, we show that every uniform convergence space has a completion. Furthermore, if the uniform convergence space is Hausdorff and satisfies the completion axiom, then it has a Hausdorff completion, which reduces to the ...
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