Strong convergence properties for \({\psi}\)-mixing random variables

DOI10.1186/1029-242X-2013-360zbMath1295.60040WikidataQ59301176 ScholiaQ59301176MaRDI QIDQ2441931

Huai Xu, Ling Tang

Publication date: 28 March 2014

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

zbMATH Keywords

strong stability\(\psi\)-mixing random variablesKhintchine-Kolmogorov type convergence theorem

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (5)

Convergence rate for weighted sums of ψ-mixing random variables and applications ⋮ On some inequalities for ψ-mixing sequences and its applications in conditional value-at-risk estimate ⋮ Strong laws for weighted sums of \(\psi \)-mixing random variables and applications in errors-in-variables regression models ⋮ Strong convergence properties for arrays of rowwise negatively orthant dependent random variables ⋮ Robbins-Monro algorithm with \(\psi\)-mixing random errors

Cites Work

• On the strong convergence for weighted sums of random variables
• On complete convergence for arrays of rowwise weakly dependent random variables
• Maximal inequality for \(\psi \)-mixing sequences and its applications
• On the strong law for arrays and for the bootstrap mean and variance
• Complete convergence for arrays of rowwise negatively orthant dependent random variables
• Marcinkiewicz strong laws for linear statistics
• STRONG LIMIT THEOREMS FOR WEIGHTED SUMS OF NOD SEQUENCE AND EXPONENTIAL INEQUALITIES
• Convergence of weighted averages of independent random variables
• On the strong law of large numbers for a class of stochastic processes

This page was built for publication: Strong convergence properties for \({\psi}\)-mixing random variables