Let A1, A2,..., be commuting intensity matrices of homogeneous, continuous-time Markov chains. The irreducibility and ergodicity of nohomogeneous, continuous-time Markov chains defined by intensity matrices of the form Q(t) = [summation operator] hn(t)An, hn(t) [greater-or-equal, slanted]0, are studied in terms of corresponding discrete-time chains. By defining transition matrices of homogenous, discrete-time chains as it is found that if one Pn is irreducible and the cor does not vanish then Q(t) is irreducible. Similarly, if one of the Pn's (or the average of a finite number of the Pn's) is ergodic and the corresponding hn(t) is large enough ([integral operator][infinity]s hn(t)du=[infinity]) then the nonhomogeneous, continuous-time chain...
This paper presents elementary proofs on distributional properties of sample paths of continuous-tim...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractLet A1, A2,…, be commuting intensity matrices of homogeneous, continuous-time Markov chains....
AbstractThe definition of a constant causative Markov chain is extended to the continuous-time case....
AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and suff...
AbstractLet X(t) be a nonhomogeneous continuous-time Markov chain. Suppose that the intensity matric...
. Inspired by the recent work of Daubechies and Lagarias on a set of matrices with convergent infini...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractWe study different types of limit behavior of infinite dimension discrete time nonhomogeneou...
Time-homogeneous Markov chains with nite state space in discrete time 1 Theory The following is a di...
We study irreducible time-homogenous Markov chains with finite state space in discrete time. We obta...
AbstractA new class of operators performing an optimization (optimization operators or, simply, opti...
International audienceWe consider Markov chains that obey the following general non-linear state spa...
It is known that the Dobrushin’s ergodicity coefficient is one of the effective tools to study the b...
This paper presents elementary proofs on distributional properties of sample paths of continuous-tim...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...
AbstractLet A1, A2,…, be commuting intensity matrices of homogeneous, continuous-time Markov chains....
AbstractThe definition of a constant causative Markov chain is extended to the continuous-time case....
AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and suff...
AbstractLet X(t) be a nonhomogeneous continuous-time Markov chain. Suppose that the intensity matric...
. Inspired by the recent work of Daubechies and Lagarias on a set of matrices with convergent infini...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractWe study different types of limit behavior of infinite dimension discrete time nonhomogeneou...
Time-homogeneous Markov chains with nite state space in discrete time 1 Theory The following is a di...
We study irreducible time-homogenous Markov chains with finite state space in discrete time. We obta...
AbstractA new class of operators performing an optimization (optimization operators or, simply, opti...
International audienceWe consider Markov chains that obey the following general non-linear state spa...
It is known that the Dobrushin’s ergodicity coefficient is one of the effective tools to study the b...
This paper presents elementary proofs on distributional properties of sample paths of continuous-tim...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
AbstractLet {Xn} be a ∅-irreducible Markov chain on an arbitrary space. Sufficient conditions are gi...