Geodesic
On the strong law of large numbers for sequences of dependent random variables with finite second moments
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 20, Tome 420 (2013), pp. 127-141 Cet article a éte moissonné depuis la source Math-Net.Ru

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New sufficient conditions of a.s. convergence of the series $\sum_{n=1}^\infty X_n$ and new sufficient conditions for the applicability of the strong law of large numbers are established for a sequence of dependent random variables $\{X_n\}_{n=1}^\infty$ with finite second moments. These results are generalizations of the well known theorems on a.s. convergence of the series of orthogonal random variables and on the strong law of large numbers for orthogonal random variables (Men'shov–Rademacher and Petrov's theorems). It is shown that some of the results obtained are optimal. 
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     title = {On the strong law of large numbers for sequences of dependent random variables with finite second moments},
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V. M. Korchevsky. On the strong law of large numbers for sequences of dependent random variables with finite second moments. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 20, Tome 420 (2013), pp. 127-141. http://geodesic.mathdoc.fr/item/ZNSL_2013_420_a6/

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