AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Several equivalent conditions, based on the first hitting time or the drift function, are derived as the main theorem. In its corollaries, practical drift criteria are given for ℓ-ergodicity and computable bounds on subgeometric convergence rates are obtained for stochastically monotone Markov chains. These results are illustrated by examples
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
Imprecise continuous-time Markov chains are a robust type of continuous-time Markov chains that allo...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
In this paper, we give quantitative bounds on the $f$-total variation distance from convergence of a...
The goal of this paper is to give a short and self contained proof of general bounds for subgeometri...
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...
In this paper we survey approaches to studying the ergodicity of aperiodic and irre-ducible Markov c...
AbstractThis paper discusses quantitative bounds on the convergence rates of Markov chains, under co...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
Imprecise continuous-time Markov chains are a robust type of continuous-time Markov chains that allo...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
In this paper, we give quantitative bounds on the $f$-total variation distance from convergence of a...
The goal of this paper is to give a short and self contained proof of general bounds for subgeometri...
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...
In this paper we survey approaches to studying the ergodicity of aperiodic and irre-ducible Markov c...
AbstractThis paper discusses quantitative bounds on the convergence rates of Markov chains, under co...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
This paper studies limit theorems for Markov Chains with general state space under conditions which ...
Imprecise continuous-time Markov chains are a robust type of continuous-time Markov chains that allo...