A conditional version of the extended Kolmogorov-Feller weak law of large numbers

DOI10.1016/j.spl.2014.11.006zbMath1312.60015OpenAlexW2002849480MaRDI QIDQ2343636

De-Mei Yuan, Xue-Mei Hu

Publication date: 6 May 2015

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2014.11.006

zbMATH Keywords

conditional independenceexchangeable random variablesKolmogorov-Feller weak law of large numbersconditionally identical distribution

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Exchangeability for stochastic processes (60G09)

Related Items (2)

A version of the Kolmogrov–Feller weak law of large numbers for maximal weighted sums of random variables ⋮ On weak law of large numbers for sums of negatively superadditive dependent random variables

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Conditional limit theorems for conditionally linearly negative quadrant dependent random variables
• Conditional versions of limit theorems for conditionally associated random variables
• Conditional demimartingales and related results
• An extension of the Kolmogorov-Feller weak law of large numbers with an application to the St. Petersburg game
• Conditional independence, conditional mixing and conditional association
• On conditional medians
• On conditional Borel-Cantelli lemmas for sequences of random variables
• Some theorems on conditional mean convergence and conditional almost sure convergence for randomly weighted sums of dependent random variables
• Some inequalities for conditional demimartingales and conditional \(N\)-demimartingales
• CONDITIONAL CENTRAL LIMIT THEOREMS FOR A SEQUENCE OF CONDITIONAL INDEPENDENT RANDOM VARIABLES
• On Conditional Independence, Mixing, and Association
• A Generalization of Weak Law of Large Numbers
• Probability: A Graduate Course

This page was built for publication: A conditional version of the extended Kolmogorov-Feller weak law of large numbers