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Markov processes for stochastic modeling par Ibe,, Oliver. Publication : [S.l.] Academic Press 2008 . 512 p. , Markov processes are used to model systems with limited memory. They are used in many areas including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. This book, which is written for upper level undergraduate and graduate students, and researchers, presents a unified presentation of Markov processes. In addition to traditional topics such as Markovian queueing system, the book discusses such topics as continuous-time random walk,correlated random walk, Brownian motion, diffusion processes, hidden Markov models, Markov random fields, Markov point processes and Markov chain Monte Carlo. Continuous-time random walk is currently used in econophysics to model the financial market, which has traditionally been modelled as a Brownian motion. Correlated random walk is popularly used in ecological studies to model animal and insect movement. Hidden Markov models are used in speech analysis and DNA sequence analysis while Markov random fields and Markov point processes are used in image analysis. Thus, the book is designed to have a very broad appeal. - Provides the practical, current applications of Markov processes - Coverage of HMM, Point processes, and Monte Carlo - Includes enough theory to help students gain throrough understanding of the subject - Principles can be immediately applied in many specific research projects, saving researchers time - End of chapter exercises provide reinforcement, practice and increased understanding to the student. 23 cm. Date : 2008 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

Stochastic relations foundations for markov transition systems par Doberkat,, Ernst-Erich. Publication : [S.l.] Chapman and Hall/CRC 2007 . 376 p. , Collecting information previously scattered throughout the vast literature, including the author’s own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems. After an introduction to the basic mathematical tools from topology, measure theory, and categories, the book examines the central topics of congruences and morphisms, applies these to the monoidal structure, and defines bisimilarity and behavioral equivalence within this framework. The author views developments from the general theory of coalgebras in the context of the subprobability functor. These tools show that bisimilarity and behavioral and logical equivalence are the same for general modal logics and for continuous time stochastic logic with and without a fixed point operator. With numerous problems and several case studies, this book is an invaluable study of an important aspect of computer science theory. 24 cm. Date : 2007 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Applied probability and queues / par Asmussen, Søren. Publication : New York : Springer, 2003 . 438 p : Date : 2003 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

Markov processes, Feller semigroups and evolution equations / par Casteren, J. A. van. Publication : Singapore ; | Hackensack, NJ : World Scientific, 2011 . 1 online resource (xviii, 805 pages). Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

Markov processes and learning models / par Norman, M. Frank. Publication : . 1 online resource (xiii, 274 pages) Disponibilité :  http://www.sciencedirect.com/science/book/9780125214506,  http://www.sciencedirect.com/science/publication?issn=00765392&volume=84,

Dirichlet forms and Markov processes / par Fukushima, Masatoshi, Publication : . 1 online resource (x, 196 pages). , Based on the author's Dirikure keishiki to Marukofu katei, published in 1975. Disponibilité :  http://www.sciencedirect.com/science/book/9780444854216,

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