An application of Rosenthal's moment inequality to the strong law of large numbers
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Publication:1069549
DOI10.1016/0167-7152(85)90050-1zbMath0584.60041OpenAlexW2039359666MaRDI QIDQ1069549
Publication date: 1985
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(85)90050-1
Related Items
Sufficient moment and truncated moment conditions for the law of the iterated logarithm ⋮ A moment maximal inequality for dependent random variables ⋮ Rosenthal-type inequalities for the maximum of partial sums of stationary processes and examples ⋮ Strong law of large numbers and complete convergence for sequences of φ-mixing random variables
Cites Work
- On the subspaces of \(L^p\) \((p > 2)\) spanned by sequences of independent random variables
- The strong law of large numbers
- A general law of iterated logarithm
- Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences
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