Add to ORKGThe book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I provides the foundations of these stochastic processes underpinned by a solid theoretical framework based on Semiregenerative phenomena. Part II presents some applications to queueing and storage system
This book covers a broad range of research results in the field of Markov and Semi-Markov chains, pr...
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discre...
International audienceThis book is a collective volume authored by leading scientists in the field o...
The purpose of this paper is to develop an understanding of the theory underlying Markov chains and ...
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov c...
This title considers the special of random processes known as semi-Markov processes. These possess t...
Wir untersuchen Markov-Random-Walks mit Steuerkette mit Werten in allgemeinen Zustandsräumen und Bed...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
This thesis analyses certain problems in Inventories and Queues. There are many situations in real-l...
We present three classical methods in the study of dynamic and stationary characteristic of processe...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Markov chains1 and Markov decision processes (MDPs) are special cases of stochastic games. Markov ch...
This book covers a broad range of research results in the field of Markov and Semi-Markov chains, pr...
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discre...
International audienceThis book is a collective volume authored by leading scientists in the field o...
The purpose of this paper is to develop an understanding of the theory underlying Markov chains and ...
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov c...
This title considers the special of random processes known as semi-Markov processes. These possess t...
Wir untersuchen Markov-Random-Walks mit Steuerkette mit Werten in allgemeinen Zustandsräumen und Bed...
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
This thesis analyses certain problems in Inventories and Queues. There are many situations in real-l...
We present three classical methods in the study of dynamic and stationary characteristic of processe...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Markov chains1 and Markov decision processes (MDPs) are special cases of stochastic games. Markov ch...
This book covers a broad range of research results in the field of Markov and Semi-Markov chains, pr...
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...