Complete \(q\)th moment convergence for arrays of random variables
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Publication:389149
DOI10.1186/1029-242X-2013-24zbMath1285.60029OpenAlexW2009796907WikidataQ59294532 ScholiaQ59294532MaRDI QIDQ389149
Publication date: 17 January 2014
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/1029-242x-2013-24
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Cites Work
- Limiting behavior for arrays of rowwise \(\rho^\ast\)-mixing random variables
- Convergence rates for probabilities of moderate deviations for moving average processes
- Complete moment convergence for sequence of identically distributed \(\varphi \)-mixing random variables
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Maximal inequalities and an invariance principle for a class of weakly dependent random variables
- Maximal inequalities for partial sums of \(\rho\)-mixing sequences
- Refinement of convergence rates for tail probabilities
- Moment inequalities and the strong laws of large numbers
- Complete Convergence and the Law of Large Numbers
- On a Theorem of Hsu and Robbins
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