AbstractThis paper deals with characterizations for the distributional regeneration of general Markov chains. In particular, we formulate sufficient conditions for the positive recurrence in terms of matrix representations and minorization conditions. As examples we study the distributional regeneration of shifts on a finite alphabet and ergodic S-unimodal interval maps
We obtain new entropy and mutual information formulae for regenerative stochastic processes. We use ...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
Ergodicity, continuity, finite approximations and rare visits of general Markov chains are investiga...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
AbstractWe consider stochastic processes Z = (Zt)[0,∞), on a general state space, having a certain p...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Central limit theorems for functionals of general state space Markov chains are of crucial importanc...
The purpose of this thesis is to study, by using techniques of regenerative processes, the problem o...
AbstractLet (S, £) be a measurable space with countably generated σ-field £ and (Mn, Xn)n⩾0 a Markov...
We review the theory of regenerative processes, which are processes that can be intuitively seen as ...
Let {Xn; n ≥ 0} be a Harris-recurrent Markov chain on a general state space. It is shown that ...
We study a class of Markov processes that combine local dynamics, arising from a fixed Markov proces...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
We obtain new entropy and mutual information formulae for regenerative stochastic processes. We use ...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
Ergodicity, continuity, finite approximations and rare visits of general Markov chains are investiga...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
AbstractWe consider stochastic processes Z = (Zt)[0,∞), on a general state space, having a certain p...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Central limit theorems for functionals of general state space Markov chains are of crucial importanc...
The purpose of this thesis is to study, by using techniques of regenerative processes, the problem o...
AbstractLet (S, £) be a measurable space with countably generated σ-field £ and (Mn, Xn)n⩾0 a Markov...
We review the theory of regenerative processes, which are processes that can be intuitively seen as ...
Let {Xn; n ≥ 0} be a Harris-recurrent Markov chain on a general state space. It is shown that ...
We study a class of Markov processes that combine local dynamics, arising from a fixed Markov proces...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
We obtain new entropy and mutual information formulae for regenerative stochastic processes. We use ...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
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