Complete convergence and complete integral convergence for randomly weighted sums under the sublinear expectations
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Publication:6573038
DOI10.1080/03610926.2023.2195029MaRDI QIDQ6573038
Publication date: 16 July 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
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- Complete convergence and complete moment convergence for negatively associated sequences of random variables
- Exponential inequalities under the sub-linear expectations with applications to laws of the iterated logarithm
- Complete convergence for arrays of rowwise negatively orthant dependent random variables
- Theorems of complete convergence and complete integral convergence for END random variables under sub-linear expectations
- Strong limit theorems for extended independent random variables and extended negatively dependent random variables under sub-linear expectations
- Complete moment and integral convergence for sums of negatively associated random variables
- Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables under sub-linear expectation
- Multi-dimensional \(G\)-Brownian motion and related stochastic calculus under \(G\)-expectation
- Complete convergence for weighted sums of extended negatively dependent random variables
- Complete convergence and strong law of large numbers for arrays of random variables under sublinear expectations
- Complete and complete moment convergence for weighted sums of arrays of rowwise negatively dependent random variables under the sub-linear expectations
- Complete convergence and complete moment convergence for maximal randomly weighted sums of widely orthant-dependent random variables with applications
- Limiting behaviour for arrays of row-wise END random variables under conditions of h-integrability
- Complete convergence and complete moment convergence for widely orthant-dependent random variables
- Complete Convergence and the Law of Large Numbers
- Complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
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