On strong law of large numbers for dependent random variables

DOI10.1155/2011/279754zbMath1216.60024OpenAlexW2170073648WikidataQ59266772 ScholiaQ59266772MaRDI QIDQ535504

Zhong-zhi Wang

Publication date: 13 May 2011

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

Full work available at URL: https://eudml.org/doc/228729

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (5)

Strong law of large numbers for generalized sample relative entropy of non homogeneous Markov chains ⋮ Complete q-th moment convergence for the maximum of partial sums of m-negatively associated random variables and its application to the EV regression model^* ⋮ On the strong law of large numbers for weighted sums of random variables ⋮ On the Jajte strong law of large numbers ⋮ Some convergence properties for the maximum of partial sums of \(m\)-negatively associated random variables

Cites Work

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• Strong limit theorems for weighted sums of negatively associated random variables
• A note on the almost sure convergence of sums of negatively dependent random variables
• Negative association of random variables, with applications
• On the law of large numbers for weakly dependent random variables
• A Combinatorial Lemma and Its Application to Probability Theory
• Association of Random Variables, with Applications
• Complete Convergence and the Law of Large Numbers
• On the strong law of large numbers

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