Strong convergence for weighted sums of END random variables under the sub-linear expectations
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Publication:5039820
DOI10.1080/03610926.2021.1883654OpenAlexW3130795807MaRDI QIDQ5039820
Publication date: 4 October 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1883654
Cites Work
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- Rosenthal's inequalities for independent and negatively dependent random variables under sub-linear expectations with applications
- Strong laws of large numbers for sub-linear expectations
- A strong law of large numbers for sub-linear expectation under a general moment condition
- A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables
- Strong laws for weighted sums of NA random variables
- On the strong convergence for weighted sums of random variables
- Complete convergence and strong laws of large numbers for weighted sums of negatively orthant dependent random variables
- Exponential inequalities under the sub-linear expectations with applications to laws of the iterated logarithm
- A theoretical framework for the pricing of contingent claims in the presence of model uncertainty
- Survey on normal distributions, central limit theorem, Brownian motion and the related stochastic calculus under sublinear expectations
- Almost-sure results for a class of dependent random variables
- Limit laws for non-additive probabilities and their frequentist interpretation
- Monotonic limit theorem of BSDE and nonlinear decomposition theorem of Doob-Meyer's type
- Strong law of large numbers and Chover's law of the iterated logarithm under sub-linear expectations
- Complete convergence for arrays of rowwise negatively orthant dependent random variables
- Complete convergence for arrays of rowwise END random variables and its statistical applications under sub-linear expectations
- Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
- Donsker's invariance principle under the sub-linear expectation with an application to Chung's law of the iterated logarithm
- On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
- Multi-dimensional \(G\)-Brownian motion and related stochastic calculus under \(G\)-expectation
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables
- Complete convergence for weighted sums of negatively dependent random variables under the sub-linear expectations
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