Law of large numbers for weakly dependent random variables with values in $D[0,1]$

DOI10.13108/2021-13-4-123zbMath1499.60091OpenAlexW3212921551WikidataQ114846280 ScholiaQ114846280MaRDI QIDQ5067200

Anvar Fayzullayevich Norjigitov, Olimjon Sh. Sharipov

Publication date: 1 April 2022

Published in: Ufimskii Matematicheskii Zhurnal (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/ufa596

zbMATH Keywords

law of large numbersmixing sequence\(D[0, 1\) space]

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Strong limit theorems (60F15)

Related Items

The law of large numbers for weakly correlated random elements in the spaces \(l_p, 1 \leqslant p<\infty\)

Cites Work

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• A refinement of the Kolmogorov-Marcinkiewicz-Zygmund strong law of large numbers
• On the central limit theorem in D[0,1 and D([0,1],H)]
• The Marcinkiewicz-Zygmund LLN in Banach spaces: a generalized martingale approach
• Stochastic convergence of weighted sums of random elements in linear spaces
• Inequalities for B-valued random vectors with applications to the strong law of large numbers
• The law of large numbers and the central limit theorem in Banach spaces
• Some stability results for vector valued random variables
• Laws of large numbers for D(0,1)
• On the central limit theorem in \(D[0,1\)]
• Maximal inequalities for partial sums of \(\rho\)-mixing sequences
• Laws of large numbers for \(D[0,1\)]
• The Law of Large Numbers for $D[0,1$-Valued Random Variables]