The matrices of non-homogeneous Markov processes consist of time-dependent functions whose values at time form typical intensity matrices. For solvingsome problems they must be changed into stochastic matrices. A stochas-tic matrix for non-homogeneous Markov process consists of time-dependent functions, whose values are probabilities and it depend on assumed time pe- riod. In this paper formulas for these functions are derived. Although the formula is not simple, it allows proving some theorems for Markov stochastic processes, well known for homogeneous processes, but for non-homogeneous ones the proofs of them turned out shorter
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
AbstractLet Xt be a homogeneous Markov process generated by the weak infinitesimal operator A. Let H...
summary:The work deals with non-Markov processes and the construction of systems of differential equ...
The matrices of non-homogeneous Markov processes consist of time-dependent functions whose values at...
Time-homogeneous Markov chains with nite state space in discrete time 1 Theory The following is a di...
AbstractLet A1, A2,…, be commuting intensity matrices of homogeneous, continuous-time Markov chains....
This paper presents elementary proofs on distributional properties of sample paths of continuous-tim...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
and 4.9. In this handout, we indicate more completely the properties of the eigenvalues of a stochas...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
Time-non-homogeneous birth and death and diffusion processes in the presence of catastrophes that oc...
We study nonstationary non-Markovian processes defined by Langevin-type stochastic differential equa...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
In this paper we present the concept of description of random processes in complex systems with disc...
AbstractA stochastic matrix is “monotone” [4] if its row-vectors are stochastically increasing. Clos...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
AbstractLet Xt be a homogeneous Markov process generated by the weak infinitesimal operator A. Let H...
summary:The work deals with non-Markov processes and the construction of systems of differential equ...
The matrices of non-homogeneous Markov processes consist of time-dependent functions whose values at...
Time-homogeneous Markov chains with nite state space in discrete time 1 Theory The following is a di...
AbstractLet A1, A2,…, be commuting intensity matrices of homogeneous, continuous-time Markov chains....
This paper presents elementary proofs on distributional properties of sample paths of continuous-tim...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
and 4.9. In this handout, we indicate more completely the properties of the eigenvalues of a stochas...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
Time-non-homogeneous birth and death and diffusion processes in the presence of catastrophes that oc...
We study nonstationary non-Markovian processes defined by Langevin-type stochastic differential equa...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
In this paper we present the concept of description of random processes in complex systems with disc...
AbstractA stochastic matrix is “monotone” [4] if its row-vectors are stochastically increasing. Clos...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
AbstractLet Xt be a homogeneous Markov process generated by the weak infinitesimal operator A. Let H...
summary:The work deals with non-Markov processes and the construction of systems of differential equ...