Abstract. We consider a Markov chain on a locally compact separable metric space X and with a unique invariant probability. We show that such a chain can be classified into two categories according to the type of convergence of the expected occupation measures. Several properties in eac
We review notions of small sets, φ-irreducibility, etc., and present a simple proof of asymp...
In this paper we consider probability measures on a complete separable metric space $ T $ (or on a t...
In this thesis, we study transition probability estimates for Markov chains and their relationship t...
International audienceThis book concerns discrete-time homogeneous Markov chains that admit an invar...
In this paper we consider a Markov chain defined on a locally compact separable metric space which s...
In this paper, we present necessary and sufficient conditions for the existence of a non-singular in...
AbstractIn this paper we present sufficient conditions for the Doeblin decomposition, and necessary ...
Let {X(n), n=0,1,2,...} denote a Markov chain on a general state space and let f be a nonnegative fu...
The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicont...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
The aim of this minicourse is to provide a number of tools that allow one to de-termine at which spe...
International audienceWe study a class of Markov chains that model the evolution of a quantum system...
International audienceLet (X,d) be a locally compact separable ultra-metric space. Given a reference...
This thesis deals with Markov operators and semigroups. A Markov operator is a positive linear opera...
A Hidden Markov Model generates two basic stochastic processes, a Markov chain, which is hidden, and...
We review notions of small sets, φ-irreducibility, etc., and present a simple proof of asymp...
In this paper we consider probability measures on a complete separable metric space $ T $ (or on a t...
In this thesis, we study transition probability estimates for Markov chains and their relationship t...
International audienceThis book concerns discrete-time homogeneous Markov chains that admit an invar...
In this paper we consider a Markov chain defined on a locally compact separable metric space which s...
In this paper, we present necessary and sufficient conditions for the existence of a non-singular in...
AbstractIn this paper we present sufficient conditions for the Doeblin decomposition, and necessary ...
Let {X(n), n=0,1,2,...} denote a Markov chain on a general state space and let f be a nonnegative fu...
The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicont...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
The aim of this minicourse is to provide a number of tools that allow one to de-termine at which spe...
International audienceWe study a class of Markov chains that model the evolution of a quantum system...
International audienceLet (X,d) be a locally compact separable ultra-metric space. Given a reference...
This thesis deals with Markov operators and semigroups. A Markov operator is a positive linear opera...
A Hidden Markov Model generates two basic stochastic processes, a Markov chain, which is hidden, and...
We review notions of small sets, φ-irreducibility, etc., and present a simple proof of asymp...
In this paper we consider probability measures on a complete separable metric space $ T $ (or on a t...
In this thesis, we study transition probability estimates for Markov chains and their relationship t...
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