Three series theorem for independent random variables under sub-linear expectations with applications
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Publication:1734914
DOI10.1007/s10114-018-7508-9zbMath1411.60046arXiv1712.08279OpenAlexW2964280749WikidataQ129002929 ScholiaQ129002929MaRDI QIDQ1734914
Publication date: 27 March 2019
Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1712.08279
capacitysub-linear expectationRosenthal inequalityKolmogorov's three series theoremMarcinkiewicz's strong law of large numbers
Related Items (14)
Several different types of convergence for ND random variables under sublinear expectations ⋮ NOTE ON STRONG LAW OF LARGE NUMBER UNDER SUB-LINEAR EXPECTATION ⋮ Note on precise rates in the law of iterated logarithm for the moment convergence of i.i.d.: random variables under sublinear expectations ⋮ Convergence of linear processes generated by negatively dependent random variables under sub-linear expectations ⋮ Equivalent conditions of complete convergence and Marcinkiewicz-Zygmund-type strong law of large numbers for i.i.d. sequences under sub-linear expectations ⋮ Complete and Complete Integral Convergence for Arrays of Rowwise Extended Negatively Dependent Random Variables under Sublinear Expectations ⋮ Limit theorems for delayed sums under sublinear expectation ⋮ Central limit theorem for linear processes generated by m-dependent random variables under the sub-linear expectation ⋮ Unnamed Item ⋮ The convergence of the sums of independent random variables under the sub-linear expectations ⋮ Central limit theorem for linear processes generated by IID random variables under the sub-linear expectation ⋮ Equivalent conditions of complete \(p\)th moment convergence for weighted sums of i. i. d. random variables under sublinear expectations ⋮ Theorems of complete convergence and complete integral convergence for END random variables under sub-linear expectations ⋮ Unnamed Item
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