Maximal inequality and complete convergence of non-identically distributed negatively associated sequences
From MaRDI portal
Publication:933046
DOI10.1007/s11766-007-0309-zzbMath1150.60013OpenAlexW2057375863MaRDI QIDQ933046
Publication date: 6 August 2008
Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11766-007-0309-z
Cites Work
- Unnamed Item
- Unnamed Item
- Central limit theorems for associated random variables and the percolation model
- A Berry-Esseen theorem for associated random variables
- An invariance principle for weakly associated random vectors
- Normal fluctuations and the FKG inequalities
- Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions
- Classes of orderings of measures and related correlation inequalities. II. Multivariate reverse rule distributions
- A general theory of some positive dependence notions
- Some concepts of negative dependence
- Kernel estimates under association: Strong uniform consistency
- A note on the almost sure convergence of sums of negatively dependent random variables
- Asymptotic normality of random fields of positively or negatively associated processes
- Complete convergence for weighted sums of negatively associated random variables
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Some maximal inequalities and complete convergences of negatively associated random sequences
- Complete convergence for weighted sums of NA sequences
- Negative association of random variables, with applications
- Associated random variables and martingale inequalities
- Some Concepts of Dependence
- Association of Random Variables, with Applications
This page was built for publication: Maximal inequality and complete convergence of non-identically distributed negatively associated sequences
