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An Introduction to Markov Processes / Daniel W. Stroock / Buch / Graduate Texts in Mathematics / HC runder Rücken kaschiert / XVII / Englisch / 2013 / Springer Berlin / EAN 9783642405228 - Stroock, Daniel W.
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An Introduction to Markov Processes / Daniel W. Stroock / Buch / Graduate Texts in Mathematics / HC runder Rücken kaschiert / XVII / Englisch / 2013 / Springer Berlin / EAN 9783642405228 - gebunden oder broschiert

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An Introduction to Markov Processes | Daniel W. Stroock | Buch | Graduate Texts in Mathematics | HC runder Rücken kaschiert | XVII | Englisch | 2013 | Springer Berlin | EAN 9783642405228 - Stroock, Daniel W.
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An Introduction to Markov Processes | Daniel W. Stroock | Buch | Graduate Texts in Mathematics | HC runder Rücken kaschiert | XVII | Englisch | 2013 | Springer Berlin | EAN 9783642405228 - gebunden oder broschiert

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ISBN: 9783642405228

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An Introduction to Markov Processes 2nd ed. 2014 - gebrauchtes Buch

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Details zum Buch
An Introduction to Markov Processes
Autor:
Titel:
ISBN-Nummer:

9783642405228


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 computingstationerymeasures, which is applied to derivations of Wilson's algorithm and Kirchoff's formula for spanning trees in a connected graph.

Detailangaben zum Buch - An Introduction to Markov Processes


EAN (ISBN-13): 9783642405228
ISBN (ISBN-10): 3642405223
Gebundene Ausgabe
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin

Buch in der Datenbank seit 2014-10-10T08:31:59+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-12-25T17:22:42+01:00 (Berlin)
ISBN/EAN: 9783642405228

ISBN - alternative Schreibweisen:
3-642-40522-3, 978-3-642-40522-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: daniel
Titel des Buches: marko, markov processes

Daten vom Verlag:

Autor/in: Daniel W. Stroock
Titel: Graduate Texts in Mathematics; An Introduction to Markov Processes
Verlag: Springer; Springer Berlin
203 Seiten
Erscheinungsjahr: 2013-11-08
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
94,50 CHF (CH)
POD
XVII, 203 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; 60-01, 60J10, 60J27, 60J28, 37L40; Markov chains; ergodic theory; reversible Markov chains; Probability Theory; Dynamical Systems; Stochastik; Kybernetik und Systemtheorie; BB; EA; BC

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.

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.

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.

Daniel Stroock has held positions at NYU, the University of Colorado, and MIT. In addition, he has visited and lectured at many universities throughout the world. He has authored several books on analysis and various aspects of probability theory and their application to partial differential equations and differential geometry.

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.

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.


Corrected and enlarged 2nd edition Written by an expert Includes new material Includes supplementary material: sn.pub/extras
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