AbstractA classical result of Markov chain theory states that if A is primitive and stochastic then limk→∞Ak exists and is rank one. The result of this paper eleviates the necessity of a fixed A in the calculation of this limit
AbstractA new class of operators performing an optimization (optimization operators or, simply, opti...
AbstractIn this paper it is shown that, for certain classes of matrices, the matrix transform of a p...
AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and suff...
AbstractThis paper provides two results on Markov set chains. The first establishes a condition numb...
AbstractThis paper gives two theorems which generalize the classical results of Markov chain theory ...
AbstractLet X(t) be a nonhomogeneous continuous-time Markov chain. Suppose that the intensity matric...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
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...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
AbstractFor a sequence of stochastic matrices {Qk}∞k=0 we establish conditions for weak ergodicity o...
. Inspired by the recent work of Daubechies and Lagarias on a set of matrices with convergent infini...
AbstractRecent papers have shown that Π∞k = 1 P(k) = limm→∞ (P(m) ⋯ P(1)) exists whenever the sequen...
AbstractFor a sequence of stochastic matrices we consider conditions for weak ergodicity of infinite...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractA new class of operators performing an optimization (optimization operators or, simply, opti...
AbstractIn this paper it is shown that, for certain classes of matrices, the matrix transform of a p...
AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and suff...
AbstractThis paper provides two results on Markov set chains. The first establishes a condition numb...
AbstractThis paper gives two theorems which generalize the classical results of Markov chain theory ...
AbstractLet X(t) be a nonhomogeneous continuous-time Markov chain. Suppose that the intensity matric...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
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...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
AbstractFor a sequence of stochastic matrices {Qk}∞k=0 we establish conditions for weak ergodicity o...
. Inspired by the recent work of Daubechies and Lagarias on a set of matrices with convergent infini...
AbstractRecent papers have shown that Π∞k = 1 P(k) = limm→∞ (P(m) ⋯ P(1)) exists whenever the sequen...
AbstractFor a sequence of stochastic matrices we consider conditions for weak ergodicity of infinite...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractA new class of operators performing an optimization (optimization operators or, simply, opti...
AbstractIn this paper it is shown that, for certain classes of matrices, the matrix transform of a p...
AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and suff...
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