AbstractBy constructing a non-negative martingale on a homogeneous tree, a class of small deviation theorems for functionals of random fields, the strong law of large numbers for the frequencies of occurrence of states and ordered couple of states for random fields, and the asymptotic equipartition property (AEP) for finite random fields are established. As corollary, the strong law of large numbers and the AEP for Markov chains indexed by a Cayley tree is obtained. Some known results are generalized in this paper
Let $(S_n)_{n \geq 0}$ be a transient random walk in the domain of attraction of a stable law and le...
AbstractLet Φn be an i.i.d. sequence of Lipschitz mappings of Rd. We study the Markov chain {Xnx}n=0...
We give a sufficient criterion for the weak disorder regime of directed polymers in random environme...
We consider biased random walk on regular tree and we obtain the spectral radius, first return proba...
AbstractWe establish large deviation properties valid for almost every sample path of a class of sta...
International audienceWe establish large deviation properties valid for almost every sample path of ...
For arbitrary β > 0, we use the orthogonal polynomials techniques developed in (Killip and Nenciu in...
AbstractA strongly ergodic non-homogeneous Markov chain is considered in the paper. As an analog of ...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
An almost sure limit theorem with logarithmic averages for α-mixing ran- dom fields is presented
A new mathematical model of the s-order Markov chain with conditional memory depth is proposed. Maxi...
<p>Recently, singular learning theory has been analyzed using algebraic geometry as its basis....
We consider a distribution equation which was initially studied by Bertoin \cite{Bertoin}: \[M \stac...
summary:In this paper we establish a new local convergence theorem for partial sums of arbitrary sto...
We study the random binary contingency tables with non-uniform margin. More precisely, for parameter...
Let $(S_n)_{n \geq 0}$ be a transient random walk in the domain of attraction of a stable law and le...
AbstractLet Φn be an i.i.d. sequence of Lipschitz mappings of Rd. We study the Markov chain {Xnx}n=0...
We give a sufficient criterion for the weak disorder regime of directed polymers in random environme...
We consider biased random walk on regular tree and we obtain the spectral radius, first return proba...
AbstractWe establish large deviation properties valid for almost every sample path of a class of sta...
International audienceWe establish large deviation properties valid for almost every sample path of ...
For arbitrary β > 0, we use the orthogonal polynomials techniques developed in (Killip and Nenciu in...
AbstractA strongly ergodic non-homogeneous Markov chain is considered in the paper. As an analog of ...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
An almost sure limit theorem with logarithmic averages for α-mixing ran- dom fields is presented
A new mathematical model of the s-order Markov chain with conditional memory depth is proposed. Maxi...
<p>Recently, singular learning theory has been analyzed using algebraic geometry as its basis....
We consider a distribution equation which was initially studied by Bertoin \cite{Bertoin}: \[M \stac...
summary:In this paper we establish a new local convergence theorem for partial sums of arbitrary sto...
We study the random binary contingency tables with non-uniform margin. More precisely, for parameter...
Let $(S_n)_{n \geq 0}$ be a transient random walk in the domain of attraction of a stable law and le...
AbstractLet Φn be an i.i.d. sequence of Lipschitz mappings of Rd. We study the Markov chain {Xnx}n=0...
We give a sufficient criterion for the weak disorder regime of directed polymers in random environme...