Chung type strong laws for arrays of random elements and bootstrapping

DOI10.1080/07362999708809501zbMath0899.60028OpenAlexW2050110835MaRDI QIDQ4371836

Robert Lee Taylor, Abolghassem Bozorgnia, Ronald Frank Patterson

Publication date: 12 November 1998

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07362999708809501

zbMATH Keywords

bootstrapChung type strong laws of large numbersvariance for random functions

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (7)

A central limit theorem for bootstrap sample sums from non-i.i.d. models ⋮ General Weak Laws of Large Numbers for Bootstrap Sample Means ⋮ Chung-type strong laws and almost complete convergence for arrays of measurable operators ⋮ On almost sure convergence for double arrays of dependent random variables ⋮ Mosco convergence of SLLN for triangular arrays of rowwise independent random sets ⋮ Complete convergence theorems for normed row sums from an array of rowwise pairwise negative quadrant dependent random variables with application to the dependent bootstrap. ⋮ Unnamed Item

Cites Work

• Unnamed Item
• On strong laws of large numbers for arrays of rowwise independent random elements
• Laws of large numbers for bootstrapped U-statistics
• Strong laws of large numbers for arrays of row-wise independent random elements
• Some asymptotic theory for the bootstrap
• The law of large numbers and the central limit theorem in Banach spaces
• Note on Some Strong Laws of Large Numbers

This page was built for publication: Chung type strong laws for arrays of random elements and bootstrapping