Geodesic
On the strong law of large numbers for a sequence of dependent random variables
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 18, Tome 408 (2012), pp. 285-288 
V. V. Petrov. On the strong law of large numbers for a sequence of dependent random variables. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 18, Tome 408 (2012), pp. 285-288. http://geodesic.mathdoc.fr/item/ZNSL_2012_408_a16/
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     title = {On the strong law of large numbers for a~sequence of dependent random variables},
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     url = {http://geodesic.mathdoc.fr/item/ZNSL_2012_408_a16/}
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Voir la notice du chapitre de livre provenant de la source Math-Net.Ru

New sufficient conditions are found for the applicability of the strong law of large numbers to a sequence of random variables without assumptions of independence or nonnegativity.

[1] O. Barndorff-Nielsen, “Characteristic subsequuences and limit laws for weighted means”, Trans. Third Prague conference on information theory, statistical decision function, random processes, Publishing House of the Czechoslovak Akad. Sci., Prague, 1964, 17–27 | MR

[2] A. Dvoretzky, “On the strong stability of a sequence of events”, Ann. Math. Statist., 20:2 (1949), 296–299 | DOI | MR | Zbl

[3] V. V. Petrov, “K usilennomu zakonu bolshikh chisel dlya posledovatelnosti neotritsatelnykh sluchainykh velichin”, Zap. nauchn. semin. POMI, 384, 2010, 182–184 | MR