Application problems are investigated for the Markov chains with quasitoeplitz transition matrix. Generating functions of transient and steady state probabilities, first zero hitting probabilities and mean times are found for various particular cases, corresponding to some known patterns of feedback ("warm-up, " "switch at threshold," etc.). Level-depending dams and queue-depending queueing systems of both M/G/1 and GI/M/1 types with arbitrary random sizes of arriving and departing groups are studied
AbstractFor finite irreducible discrete time Markov chains, whose transition probabilities are subje...
We investigate a gated polling system with semi-linear feedback and Markovian routing. We thereby re...
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...
In this paper, we study Markov chains with infinite state block-structured transition ma-trices, who...
Abstract: In this paper, based on probabilistic arguments, we obtain an explicit solution of the sta...
The general area of research of this dissertation concerns large systems with random aspects to thei...
AbstractSeveral useful point processes such as the Markovian arrival process, the input and departur...
International audienceMarkov chains are a fundamental class of stochastic processes. They are widely...
Many Markov chains with a single absorbing state have a unique limiting conditional distribution (LC...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
Markov chains, whose transition matrices reveal a certain type of block-structure, find many applica...
In the study of quasi-birth-and-death (QBD) processes, the first passage probabilities from states i...
Abstract-we shall be concerned with the problem of determining quasi-stationary distributions for Ma...
The purpose of this paper is to present some theorems and properties of taboo probabilities in discr...
We consider the behavior of a stochastic system composed of several identically distributed, but non...
AbstractFor finite irreducible discrete time Markov chains, whose transition probabilities are subje...
We investigate a gated polling system with semi-linear feedback and Markovian routing. We thereby re...
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...
In this paper, we study Markov chains with infinite state block-structured transition ma-trices, who...
Abstract: In this paper, based on probabilistic arguments, we obtain an explicit solution of the sta...
The general area of research of this dissertation concerns large systems with random aspects to thei...
AbstractSeveral useful point processes such as the Markovian arrival process, the input and departur...
International audienceMarkov chains are a fundamental class of stochastic processes. They are widely...
Many Markov chains with a single absorbing state have a unique limiting conditional distribution (LC...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
Markov chains, whose transition matrices reveal a certain type of block-structure, find many applica...
In the study of quasi-birth-and-death (QBD) processes, the first passage probabilities from states i...
Abstract-we shall be concerned with the problem of determining quasi-stationary distributions for Ma...
The purpose of this paper is to present some theorems and properties of taboo probabilities in discr...
We consider the behavior of a stochastic system composed of several identically distributed, but non...
AbstractFor finite irreducible discrete time Markov chains, whose transition probabilities are subje...
We investigate a gated polling system with semi-linear feedback and Markovian routing. We thereby re...
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...