Complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations
From MaRDI portal
Publication:6067521
DOI10.1080/03610926.2022.2071448MaRDI QIDQ6067521
No author found.
Publication date: 17 November 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Rosenthal's inequalities for independent and negatively dependent random variables under sub-linear expectations with applications
- Complete convergence and complete moment convergence for negatively associated sequences of random variables
- Complete convergence and complete moment convergence for a class of random variables
- Exponential inequalities under the sub-linear expectations with applications to laws of the iterated logarithm
- A general central limit theorem under sublinear expectations
- Survey on normal distributions, central limit theorem, Brownian motion and the related stochastic calculus under sublinear expectations
- Complete moment convergence for arrays of rowwise widely orthant dependent random variables
- Strong law of large numbers and Chover's law of the iterated logarithm under sub-linear expectations
- A new proof for the generalized law of large numbers under Choquet expectation
- Complete convergence for weighted sums of widely orthant-dependent random variables
- Strong limit theorems for extended independent random variables and extended negatively dependent random variables under sub-linear expectations
- Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables under sub-linear expectation
- Complete convergence and complete moment convergence for martingale difference sequence
- Multi-dimensional \(G\)-Brownian motion and related stochastic calculus under \(G\)-expectation
- Complete moment convergence for weighted sums of widely orthant-dependent random variables and its application in nonparametric regression models
- Complete moment convergence for arrays of rowwise NSD random variables
- A Weighted Central Limit Theorem Under Sublinear Expectations
- Complete convergence and strong law of large numbers for arrays of random variables under sublinear expectations
- Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables
- Complete and complete integral convergence for arrays of row wise widely negative dependent random variables under the sub-linear expectations
- Complete Convergence and the Law of Large Numbers
- Complete and complete integral convergence for weighted sums of arrays of rowwise widely negative dependent random variables under the sub-linear expectations
- Regularly varying functions
This page was built for publication: Complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations
