The discrete and continuous parameter forms of the mean ergodic theorem conclude that 1 N ∑ n=0 N-1Tnx→Px, 1 τ ∫ 0 τT(t)x dtx→Px as N → ∞ or τ → ∞. The ergodic limit P is shown to depend continuously on the operator T in the discrete case or on the infinitesimal generator A of the semigroup T in the continuous case. These results are motivated by recent investigations into the asymptotics of Markov chains. © 1990
Consider the partial sums {St} of a real-valued functional F(Φ(t)) of a Markov chain {Φ(0)} with val...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
A simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodic Markov...
The discrete and continuous parameter forms of the mean ergodic theorem conclude that as N --> [infi...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
We study the absolute continuity of ergodic measures of Markov chains $X_{n+1}=F(X_n,Y_{n+1})$ for t...
We provide an elementary proof that ergodic measures on one-sided shift spaces are ‘uniformly scalin...
We consider a Markov chain with a general state space, but whose behavior is governed by finite matr...
Ankara : Department of Mathematics and Institute of Engineering and Sciences of Bilkent University, ...
AbstractWe study different types of limit behavior of infinite dimension discrete time nonhomogeneou...
AbstractWe consider a Markov chain with a general state space, but whose behavior is governed by fin...
International audienceConsider an irreducible, aperiodic and positive recurrent discrete time Markov...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
The paper is devoted to Professor Andrzej Lasota's contribution to the ergodic theory of stochastic ...
Consider the partial sums {St} of a real-valued functional F(Φ(t)) of a Markov chain {Φ(0)} with val...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
A simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodic Markov...
The discrete and continuous parameter forms of the mean ergodic theorem conclude that as N --> [infi...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
We study the absolute continuity of ergodic measures of Markov chains $X_{n+1}=F(X_n,Y_{n+1})$ for t...
We provide an elementary proof that ergodic measures on one-sided shift spaces are ‘uniformly scalin...
We consider a Markov chain with a general state space, but whose behavior is governed by finite matr...
Ankara : Department of Mathematics and Institute of Engineering and Sciences of Bilkent University, ...
AbstractWe study different types of limit behavior of infinite dimension discrete time nonhomogeneou...
AbstractWe consider a Markov chain with a general state space, but whose behavior is governed by fin...
International audienceConsider an irreducible, aperiodic and positive recurrent discrete time Markov...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
The paper is devoted to Professor Andrzej Lasota's contribution to the ergodic theory of stochastic ...
Consider the partial sums {St} of a real-valued functional F(Φ(t)) of a Markov chain {Φ(0)} with val...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
A simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodic Markov...