AbstractThe aim of this paper is to establish a strong law of large numbers for the bivariate functions of countable nonhomogeneous Markov chains under the condition of uniform convergence in the Cesàro sense which differs from my previous results. As corollaries, we generalize one of the Liu and Liu’s results for the univariate functions case and obtain another Shannon–McMillan–Breiman theorem for this Markov chains
We study the almost sure convergence of weighted sums of dependent random variables to a pos...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
AbstractIn this paper, we study the convergence in the Cesàro sense and the strong law of large numb...
AbstractWe prove a strong law of large numbers for functionals of nonhomogeneous Markov chains. The ...
AbstractThe aim of this paper is to establish a strong law of large numbers for the bivariate functi...
AbstractIn this paper, we study the convergence in the Cesàro sense and the strong law of large numb...
We study the strong law of large numbers for the frequencies of occurrence of states and ordered cou...
In this paper, we first study a convergence theorem for a finite mth-order nonhomogeneous Markov cha...
summary:In this paper, we study the limit properties of countable nonhomogeneous Markov chains in th...
This paper provides a strong law of large numbers for independent and nonidentically distributed ran...
Strong law of large numbers and complete convergence for sequences of *-mixing random variables are ...
Abstract—In This Article We establish moment inequality of dependent random variables,furthermore so...
Abstract. We prove for a sequence of blockwise m-dependent random vari-ables, with some additional c...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
We study the almost sure convergence of weighted sums of dependent random variables to a pos...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
AbstractIn this paper, we study the convergence in the Cesàro sense and the strong law of large numb...
AbstractWe prove a strong law of large numbers for functionals of nonhomogeneous Markov chains. The ...
AbstractThe aim of this paper is to establish a strong law of large numbers for the bivariate functi...
AbstractIn this paper, we study the convergence in the Cesàro sense and the strong law of large numb...
We study the strong law of large numbers for the frequencies of occurrence of states and ordered cou...
In this paper, we first study a convergence theorem for a finite mth-order nonhomogeneous Markov cha...
summary:In this paper, we study the limit properties of countable nonhomogeneous Markov chains in th...
This paper provides a strong law of large numbers for independent and nonidentically distributed ran...
Strong law of large numbers and complete convergence for sequences of *-mixing random variables are ...
Abstract—In This Article We establish moment inequality of dependent random variables,furthermore so...
Abstract. We prove for a sequence of blockwise m-dependent random vari-ables, with some additional c...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
We study the almost sure convergence of weighted sums of dependent random variables to a pos...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...