AbstractThe characterization problem of a homogeneous Markov chain (with either finitely many or a countable number of states) is considered for the class of the variables satisfying the asymptotic independence. An allied result when some state distribution is given beforehand at some step is also presented
In the dissertation there is investigated a class of Markov chains defined by iterations of a functi...
AbstractWe explicitly find the spectral decomposition, when it exists, of a Markov operator P∗ : l1 ...
AbstractThe semi-Markov process studied here is a generalized random walk on the non-negative intege...
AbstractThe characterization problem of a homogeneous Markov chain (with either finitely many or a c...
AbstractTwo new proofs are given for the fact that a stationary, irreducible, aperiodic Markov chain...
AbstractWe first give an extension of a theorem of Volkonskii and Rozanov characterizing the strictl...
For homogeneous Markov chains in a compact and locally compact spaces, the ergodic properties are in...
summary:Let $p_t$ be a vector of absolute distributions of probabilities in an irreducible aperiodic...
AbstractWe consider infinite systems of independent Markov chains as processes on the space of parti...
AbstractWe consider an irreducible and homogeneous Markov chain (discrete time) with finite state sp...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractA necessary and sufficient condition for a finite ergodic homogeneous Markov chain to conver...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractIn this report we relate the property of stochastic boundedness to the existence of stationa...
AbstractFor a discrete-time Markov chain with finite state space {1, …, r} we consider the joint dis...
In the dissertation there is investigated a class of Markov chains defined by iterations of a functi...
AbstractWe explicitly find the spectral decomposition, when it exists, of a Markov operator P∗ : l1 ...
AbstractThe semi-Markov process studied here is a generalized random walk on the non-negative intege...
AbstractThe characterization problem of a homogeneous Markov chain (with either finitely many or a c...
AbstractTwo new proofs are given for the fact that a stationary, irreducible, aperiodic Markov chain...
AbstractWe first give an extension of a theorem of Volkonskii and Rozanov characterizing the strictl...
For homogeneous Markov chains in a compact and locally compact spaces, the ergodic properties are in...
summary:Let $p_t$ be a vector of absolute distributions of probabilities in an irreducible aperiodic...
AbstractWe consider infinite systems of independent Markov chains as processes on the space of parti...
AbstractWe consider an irreducible and homogeneous Markov chain (discrete time) with finite state sp...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractA necessary and sufficient condition for a finite ergodic homogeneous Markov chain to conver...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractIn this report we relate the property of stochastic boundedness to the existence of stationa...
AbstractFor a discrete-time Markov chain with finite state space {1, …, r} we consider the joint dis...
In the dissertation there is investigated a class of Markov chains defined by iterations of a functi...
AbstractWe explicitly find the spectral decomposition, when it exists, of a Markov operator P∗ : l1 ...
AbstractThe semi-Markov process studied here is a generalized random walk on the non-negative intege...