An Introduction to Markov Processes

An Introduction to Markov Processes
Author: Daniel W. Stroock
Publisher: Springer Science & Business Media
Total Pages: 196
Release: 2005-03-30
Genre: Mathematics
ISBN: 9783540234517

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Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theory Leads the reader to a rigorous understanding of basic theory


An Introduction to Markov Processes
Language: en
Pages: 196
Authors: Daniel W. Stroock
Categories: Mathematics
Type: BOOK - Published: 2005-03-30 - Publisher: Springer Science & Business Media

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Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theo
Introduction to Markov Chains
Language: en
Pages: 237
Authors: Ehrhard Behrends
Categories: Mathematics
Type: BOOK - Published: 2014-07-08 - Publisher: Vieweg+Teubner Verlag

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Besides the investigation of general chains the book contains chapters which are concerned with eigenvalue techniques, conductance, stopping times, the strong M
Continuous Time Markov Processes
Language: en
Pages: 290
Authors: Thomas Milton Liggett
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: American Mathematical Soc.

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Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, a
An Introduction to the Theory of Large Deviations
Language: en
Pages: 208
Authors: Daniel W. Stroock
Categories: Large deviations
Type: BOOK - Published: 1984-08 - Publisher:

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Markov Processes
Language: en
Pages: 600
Authors: Daniel T. Gillespie
Categories: Mathematics
Type: BOOK - Published: 1992 - Publisher: Gulf Professional Publishing

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Markov process theory provides a mathematical framework for analyzing the elements of randomness that are involved in most real-world dynamical processes. This