Strong laws of large numbers for negatively dependent random variables under sublinear expectations

DOI10.1080/03610926.2017.1300274zbMath1387.60054OpenAlexW2593558724MaRDI QIDQ4606478

Xiaoyang Chen, Fang Liu

Publication date: 7 March 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1300274

zbMATH Keywords

negative dependencesublinear expectationSLLNnon additive probability

Mathematics Subject Classification ID

Contents, measures, outer measures, capacities (28A12) Strong limit theorems (60F15)

Related Items (3)

An invariance principle of strong law of large numbers under nonadditive probabilities ⋮ On some conditions for strong law of large numbers for weighted sums of END random variables under sublinear expectations ⋮ Complete convergence and complete moment convergence for arrays of rowwise negatively dependent random variables under sub-linear expectations

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• A general strong law of large numbers for non-additive probabilities and its applications

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