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
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			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.
			
            
            
            
          
        
      @article{ZNSL_2013_420_a6,
     author = {V. M. Korchevsky},
     title = {On the strong law of large numbers for sequences of dependent random variables with finite second moments},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {127--141},
     publisher = {mathdoc},
     volume = {420},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_2013_420_a6/}
}
                      
                      
                    TY - JOUR AU - V. M. Korchevsky TI - On the strong law of large numbers for sequences of dependent random variables with finite second moments JO - Zapiski Nauchnykh Seminarov POMI PY - 2013 SP - 127 EP - 141 VL - 420 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ZNSL_2013_420_a6/ LA - ru ID - ZNSL_2013_420_a6 ER -
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/