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Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables under sub-linear expectation

机译:次线性期望下扩展负相关随机变量的加权和的完全收敛和完全矩收敛

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In this paper, we study the complete convergence and complete moment convergence for weighted sums of extended negatively dependent (END) random variables under sub-linear expectations space with the condition of C V [ | X | p l ( | X | 1 / α ) ] ∞ $C_{mathbb{V}}[|X|^{p}l(|X|^{1/lpha})]infty$ , further E ˆ ( | X | p l ( | X | 1 / α ) ) ≤ C V [ | X | p l ( | X | 1 / α ) ] ∞ $hat{mathbb {E}}(|X|^{p}l(|X|^{1/lpha}))leq C_{mathbb{V}}[|X|^{p}l(|X|^{1/lpha })]infty$ , 1 p 2 $1 p2$ ( l ( x ) 0 $l(x)0$ is a slow varying and monotone nondecreasing function). As an application, the Baum-Katz type result for weighted sums of extended negatively dependent random variables is established under sub-linear expectations space. The results obtained i
机译:在本文中,我们研究了在条件为C V的子线性期望空间下,扩展负相关性(END)随机变量的加权和的完全收敛和完全矩收敛。 X | pl(| X | 1 /α)] <∞$ C _ { mathbb {V}} [| X | ^ {p} l(| X | ^ {1 / alpha})] < infty $,再加上E ˆ(| X | pl(| X | 1 /α))≤CV [| X | pl(| X | 1 /α)] <∞$ hat { mathbb {E}}(| X | ^ {p} l(| X | ^ {1 / alpha})) leq C _ { mathbb {V}} [| X | ^ {p} l(| X | ^ {1 / alpha})] < infty $,1 <2 $ 1 <2 $(l(x)> 0 $ l(x)> 0 $是一个缓慢变化的单调非递减函数。作为应用,在亚线性期望空间下建立了扩展的负相关变量的加权和的Baum-Katz型结果。我获得的结果

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