Complete convergence for weighted sums of widely orthant-dependent random variables
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Publication:2072804
DOI10.1186/S13660-021-02574-2zbMath1504.60048OpenAlexW3165211146MaRDI QIDQ2072804
Publication date: 26 January 2022
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-021-02574-2
Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Central limit and other weak theorems (60F05) Strong limit theorems (60F15)
Related Items (4)
Complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations ⋮ Complete \(f\)-moment convergence for maximal randomly weighted sums of arrays of rowwise widely orthant dependent random variables and its statistical applications ⋮ Strong convergence for weighted sums of widely orthant dependent random variables and applications ⋮ Further Spitzer's law for widely orthant dependent random variables
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