Geodesic
On the rate of convergence in the strong law of large numbers for non-negative random variables
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 24, Tome 454 (2016), pp. 183-194 
V. M. Korchevsky. On the rate of convergence in the strong law of large numbers for non-negative random variables. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 24, Tome 454 (2016), pp. 183-194. http://geodesic.mathdoc.fr/item/ZNSL_2016_454_a10/
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     title = {On the rate of convergence in the strong law of large numbers for non-negative random variables},
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     year = {2016},
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     url = {http://geodesic.mathdoc.fr/item/ZNSL_2016_454_a10/}
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Voir la notice du chapitre de livre provenant de la source Math-Net.Ru

We study the rate of convergence in the strong law of large numbers for sequences of non-negative random variables without the independence assumption. We obtain conditions for which an analog of the Baum–Katz theorem holds.

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