On the law of the iterated logarithm for sums of dependent random variables

DOI10.1007/S10958-021-05588-9zbMath1480.60069OpenAlexW3204976793WikidataQ114852333 ScholiaQ114852333MaRDI QIDQ2246218

Valentin V. Petrov

Publication date: 16 November 2021

Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10958-021-05588-9

zbMATH Keywords

\(m\)-dependent random variables\(m\)-orthogonal random variables

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Cites Work

• On the law of the iterated logarithm for sequences of dependent random variables
• On the law of the iterated logarithm without assumptions about the existence of moments
• The central limit theorem for dependent random variables
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