Add to ORKGIn the research area of one dimensional stochastic processes, Markov chains acquire special importance due to large number of applications. One of the simplest possible continuous time Markov chains, namely birth-and-death process arises naturally in many queueing models. Such a Markov chain has an efficien
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
In this thesis we study basic statistical methods in Markov chains. In the case of discrete time, th...
We establish in a direct manner that the steady state distribution of Markovian fluid flow models ca...
International audienceMarkov chains are a fundamental class of stochastic processes. They are widely...
Analytical methods for tractable (Markov) queueing models commonly assume Poisson arrivals and expon...
We determine the equilibrium distribution for a class of quasi-birth-and-death (QBD) processes using...
We investigate some modern matrix methods for the solution of finite state stochastic models with an...
This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatt...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
Abstract-An imbedded Markov chain methodology is employed to study an M/M/1/N queue. For this system...
A large number of queueing systems may be modelled as infinite Markov chains for which the transitio...
Many large-scale stochastic systems, such as telecommunications networks, can be modelled using a co...
Abstract: In this article, we present a solution to a class of Quasi-Birth-and-Death processes with ...
In the study of quasi-birth-and-death (QBD) processes, the first passage probabilities from states i...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
In this thesis we study basic statistical methods in Markov chains. In the case of discrete time, th...
We establish in a direct manner that the steady state distribution of Markovian fluid flow models ca...
International audienceMarkov chains are a fundamental class of stochastic processes. They are widely...
Analytical methods for tractable (Markov) queueing models commonly assume Poisson arrivals and expon...
We determine the equilibrium distribution for a class of quasi-birth-and-death (QBD) processes using...
We investigate some modern matrix methods for the solution of finite state stochastic models with an...
This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatt...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
Abstract-An imbedded Markov chain methodology is employed to study an M/M/1/N queue. For this system...
A large number of queueing systems may be modelled as infinite Markov chains for which the transitio...
Many large-scale stochastic systems, such as telecommunications networks, can be modelled using a co...
Abstract: In this article, we present a solution to a class of Quasi-Birth-and-Death processes with ...
In the study of quasi-birth-and-death (QBD) processes, the first passage probabilities from states i...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
In this thesis we study basic statistical methods in Markov chains. In the case of discrete time, th...
We establish in a direct manner that the steady state distribution of Markovian fluid flow models ca...