Markov Processes, Gaussian Processes, and Local Times ebook Marcus, Michael B., Rosen, Jay Diesel eBooks

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Home > Education > Mathematics > Markov Processes, Gaussian Processes, and Local Times-eBook

Markov Processes, Gaussian Processes, and Local Times

Marcus, Michael B., Rosen, Jay

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Markov Processes, Gaussian Processes, and Local Times

Written by two foremost researchers in the field, this book studies the local times of Markov processes by employing isomorphism theorems that relate them to certain associated Gaussian processes. It builds to this material through self-contained but harmonized 'mini-courses' on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and for experts in related fields. The book starts by developing the fundamentals of Markov process theory and then of Gaussian process theory, including sample path properties. It then proceeds to more advanced results, bringing the reader to the heart of contemporary research. It presents the remarkable isomorphism theorems of Dynkin and Eisenbaum then shows how they can be applied to obtain new properties of Markov processes by using well-established techniques in Gaussian process theory. This original, readable book will appeal to both researchers and advanced graduate students.

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Title of ebook: Markov Processes, Gaussian Processes, and Local Times
ISBN: 9780511243318
Publisher: Cambridge University Press
Internet download file size: 3852 kb
Pages: 630
Released online for download: 10-16-2006
Author of eBook: Marcus, Michael B.
Author of eBook: Rosen, Jay