This paper studies limit theorems for Markov Chains with general state space under conditions which imply subgeometric ergodicity. We obtain a central limit theorem and moderate deviation principles for additive not necessarily bounded functional of the Markov chains under drift and minorization conditions which are weaker than the Foster-Lyapunov conditions. The regeneration-split chain method and a precise control of the modulated moment of the hitting time to small sets are employed in the proof
AbstractWe consider a form of state-dependent drift condition for a general Markov chain, whereby th...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
The goal of this paper is to give a short and self contained proof of general bounds for subgeometri...
In this paper, we give quantitative bounds on the $f$-total variation distance from convergence of a...
AbstractIn many applications of Markov chains, and especially in Markov chain Monte Carlo algorithms...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractWe provide a condition in terms of a supermartingale property for a functional of the Markov...
We provide a condition for f-ergodicity of strong Markov processes at a subgeometric rate. This cond...
AbstractWe consider a form of state-dependent drift condition for a general Markov chain, whereby th...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
The goal of this paper is to give a short and self contained proof of general bounds for subgeometri...
In this paper, we give quantitative bounds on the $f$-total variation distance from convergence of a...
AbstractIn many applications of Markov chains, and especially in Markov chain Monte Carlo algorithms...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
AbstractWe provide a condition in terms of a supermartingale property for a functional of the Markov...
We provide a condition for f-ergodicity of strong Markov processes at a subgeometric rate. This cond...
AbstractWe consider a form of state-dependent drift condition for a general Markov chain, whereby th...
AbstractThis paper deals with characterizations for the distributional regeneration of general Marko...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...