scientific article; zbMATH DE number 7301819
From MaRDI portal
Publication:5147416
DOI10.4134/JKMS.j190756zbMath1454.60045MaRDI QIDQ5147416
Chao Lu, Yi Wu, Rui Wang, Xue-jun Wang
Publication date: 26 January 2021
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
complete convergencecomplete moment convergencesub-linear expectationsEND random variablescomplete \(f\)-moment convergence
Related Items
Strong limit theorems of weighted sums for extended negatively dependent random variables under sub-linear expectations, Complete f-moment convergence for negatively superadditive dependent random variables
Cites Work
- Unnamed Item
- 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
- Exponential inequalities under the sub-linear expectations with applications to laws of the iterated logarithm
- Function spaces and capacity related to a sublinear expectation: application to \(G\)-Brownian motion paths
- On complete convergence and complete moment convergence for weighted sums of \(\rho^\ast\)-mixing random variables
- Monotonic limit theorem of BSDE and nonlinear decomposition theorem of Doob-Meyer's type
- Complete convergence and complete moment convergence for maximal weighted sums of extended negatively dependent random variables
- Strong law of large numbers and Chover's law of the iterated logarithm under sub-linear expectations
- Three series theorem for independent random variables under sub-linear expectations with applications
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Complete moment and integral convergence for sums of negatively associated random variables
- Complete \(f\)-moment convergence for widely orthant dependent random variables and its application in nonparametric models
- Complete \(f\)-moment convergence for extended negatively dependent random variables
- Complete convergence theorems for extended negatively dependent random variables
- A strong law of large numbers for non-additive probabilities
- Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
- On the asymptotic approximation of inverse moment under sub-linear expectations
- Precise asymptotics in complete moment convergence of moving-average processes
- Multi-dimensional \(G\)-Brownian motion and related stochastic calculus under \(G\)-expectation
- Some general strong laws for weighted sums of stochastically dominated random variables
- Complete convergence and strong law of large numbers for arrays of random variables under sublinear expectations
- Nonlinear Expectations and Stochastic Calculus under Uncertainty
- Non-linear expectations in spaces of Colombeau generalized functions
- Complete Convergence and the Law of Large Numbers