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Continuous Time Markov Processes by Liggett Thomas (10 results)
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Continuous Time Markov Processes : An Introduction
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Condition: As New. Unread book in perfect condition.
-
Continuous Time Markov Processes : An Introduction
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Condition: New.
-
Continuous Time Markov Processes
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, US, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, and applies this theory to various special examples. The initial chapter is devoted to the most important classical example - one dimensional Brownian motion. This, together with a chapter on continuous time Markov chains, provides the motivation for the general setup based on semigroups and generators. Chapters on stochastic calculus and probabilistic potential theory give an introduction to some of the key areas of application of Brownian motion and its relatives. A chapter on interacting particle systems treats a more recently developed class of Markov processes that have as their origin problems in physics and biology. This is a textbook for a graduate course that can follow one that covers basic probabilistic limit theorems and discrete time processes.
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Continuous Time Markov Processes An Introduction
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by Amer Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Hardcover. Condition: Brand New. new ed. edition. 271 pages. 10.00x7.00x0.75 inches. In Stock.
-
Continuous Time Markov Processes : An Introduction
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Continuous Time Markov Processes
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Condition: New. pp. xii + 271.
-
Continuous Time Markov Processes : An Introduction
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Continuous Time Markov Processes
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Condition: New. pp. xii + 271.
-
Continuous Time Markov Processes: An Introduction (eng)
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Condition: new.
-
Continuous Time Markov Processes
Book 92 of 190: Graduate Studies in MathematicsLanguage: English
Published by American Mathematical Society, US, 2010
ISBN 10: 0821849492 ISBN 13: 9780821849491
Hardback. Condition: New. Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, and applies this theory to various special examples. The initial chapter is devoted to the most important classical example - one dimensional Brownian motion. This, together with a chapter on continuous time Markov chains, provides the motivation for the general setup based on semigroups and generators. Chapters on stochastic calculus and probabilistic potential theory give an introduction to some of the key areas of application of Brownian motion and its relatives. A chapter on interacting particle systems treats a more recently developed class of Markov processes that have as their origin problems in physics and biology. This is a textbook for a graduate course that can follow one that covers basic probabilistic limit theorems and discrete time processes.
