Weak convergence of semi-Markov processes in the diffusive approximation scheme is studied in the paper. This problem is not new and it is studied in many papers, using convergence of random processes. Unlike other studies, we used in this paper concept of the compensating operator. It enables getting sufficient conditions of weak convergence under the conditions on the local characteristics of output semi-Markov process
The aim of this minicourse is to provide a number of tools that allow one to de-termine at which spe...
We show the almost sure uniform pathwise convergence of birth and death processes and random walks t...
This paper presents two main results: first, a Liapunov type criterion for the existence of a statio...
In this paper we consider the stochastic diffusion process with semi-Markov switchings in an averagi...
This title considers the special of random processes known as semi-Markov processes. These possess t...
AbstractGeneralized semi-Markov schemes were introduced by Matthes in 1962 under the designation ‘Be...
We consider the problem of conditioning a continuous-time Markov chain (on a countably infinite stat...
This article studies the rate of convergence of the weak Euler approximation for Itô diffusion and j...
AbstractConvergence of stochastic processes with jumps to diffusion processes is investigated in the...
International audienceWe consider Bienaymé-Galton-Watson and continuous-time Markov branching proces...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
In this article, we obtain some sufficient conditions for weak convergence of a sequence of processe...
Ich schreibe nicht, euch zu gefallen, Ihr sollt was lernen! – Goethe Markov processes in physics, c...
AbstractThis work deals with the diffusion approximation of the first integral of a stochastic dynam...
Limiting theorems for Markovian branching processes are investigated in the paper. During the invest...
The aim of this minicourse is to provide a number of tools that allow one to de-termine at which spe...
We show the almost sure uniform pathwise convergence of birth and death processes and random walks t...
This paper presents two main results: first, a Liapunov type criterion for the existence of a statio...
In this paper we consider the stochastic diffusion process with semi-Markov switchings in an averagi...
This title considers the special of random processes known as semi-Markov processes. These possess t...
AbstractGeneralized semi-Markov schemes were introduced by Matthes in 1962 under the designation ‘Be...
We consider the problem of conditioning a continuous-time Markov chain (on a countably infinite stat...
This article studies the rate of convergence of the weak Euler approximation for Itô diffusion and j...
AbstractConvergence of stochastic processes with jumps to diffusion processes is investigated in the...
International audienceWe consider Bienaymé-Galton-Watson and continuous-time Markov branching proces...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
In this article, we obtain some sufficient conditions for weak convergence of a sequence of processe...
Ich schreibe nicht, euch zu gefallen, Ihr sollt was lernen! – Goethe Markov processes in physics, c...
AbstractThis work deals with the diffusion approximation of the first integral of a stochastic dynam...
Limiting theorems for Markovian branching processes are investigated in the paper. During the invest...
The aim of this minicourse is to provide a number of tools that allow one to de-termine at which spe...
We show the almost sure uniform pathwise convergence of birth and death processes and random walks t...
This paper presents two main results: first, a Liapunov type criterion for the existence of a statio...