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An Introduction to Markov Processes / / by Daniel W. Stroock



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Autore: Stroock Daniel W Visualizza persona
Titolo: An Introduction to Markov Processes / / by Daniel W. Stroock Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 2nd ed. 2014.
Descrizione fisica: 1 online resource (xv, 203 pages )
Disciplina: 519.2
Soggetto topico: Probabilities
Dynamics
Ergodic theory
Probability Theory and Stochastic Processes
Dynamical Systems and Ergodic Theory
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references (page 199) and index.
Nota di contenuto: Preface -- Random Walks, a Good Place to Begin -- Doeblin's Theory for Markov Chains -- Stationary Probabilities -- More about the Ergodic Theory of Markov Chains -- Markov Processes in Continuous Time -- Reversible Markov Processes -- A minimal Introduction to Measure Theory -- Notation -- References -- Index.
Sommario/riassunto: This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. Applications are dispersed throughout the book. In addition, a whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium. These results are then applied to the analysis of the Metropolis (a.k.a simulated annealing) algorithm. The corrected and enlarged 2nd edition contains a new chapter in which the author develops computational methods for Markov chains on a finite state space. Most intriguing is the section with a new technique for computing stationary measures, which is applied to derivations of Wilson's algorithm and Kirchoff's formula for spanning trees in a connected graph.
Titolo autorizzato: Introduction to Markov processes  Visualizza cluster
ISBN: 3-642-40523-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300157403321
Lo trovi qui: Univ. Federico II
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Serie: Graduate Texts in Mathematics, . 0072-5285 ; ; 230