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
AbstractThe concept of a limiting conditional age distribution of a continuous time Markov process w...
Central limit theorems for functionals of general state space Markov chains are of crucial importanc...
We study a class of Markov processes that combine local dynamics, arising from a fixed Markov proces...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractWe consider stochastic processes Z = (Zt)[0,∞), on a general state space, having a certain p...
AbstractLet (S, £) be a measurable space with countably generated σ-field £ and (Mn, Xn)n⩾0 a Markov...
AbstractAs is known, due to the existence of an embedded renewal structure, the iterates of a Harris...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
The purpose of this thesis is to study, by using techniques of regenerative processes, the problem o...
Ergodicity, continuity, finite approximations and rare visits of general Markov chains are investiga...
AbstractA number of important theorems arising in connection with Gaussian elimination are derived, ...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Let {Xn; n ≥ 0} be a Harris-recurrent Markov chain on a general state space. It is shown that ...
This thesis concentrates on some extensions of empirical processes theory when the data are Markovia...
AbstractThe concept of a limiting conditional age distribution of a continuous time Markov process w...
Central limit theorems for functionals of general state space Markov chains are of crucial importanc...
We study a class of Markov processes that combine local dynamics, arising from a fixed Markov proces...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractWe consider stochastic processes Z = (Zt)[0,∞), on a general state space, having a certain p...
AbstractLet (S, £) be a measurable space with countably generated σ-field £ and (Mn, Xn)n⩾0 a Markov...
AbstractAs is known, due to the existence of an embedded renewal structure, the iterates of a Harris...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
The purpose of this thesis is to study, by using techniques of regenerative processes, the problem o...
Ergodicity, continuity, finite approximations and rare visits of general Markov chains are investiga...
AbstractA number of important theorems arising in connection with Gaussian elimination are derived, ...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Let {Xn; n ≥ 0} be a Harris-recurrent Markov chain on a general state space. It is shown that ...
This thesis concentrates on some extensions of empirical processes theory when the data are Markovia...
AbstractThe concept of a limiting conditional age distribution of a continuous time Markov process w...
Central limit theorems for functionals of general state space Markov chains are of crucial importanc...
We study a class of Markov processes that combine local dynamics, arising from a fixed Markov proces...
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