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Markov Processes, Gaussian Processes, and Local Times - Michael B. Marcus
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Michael B. Marcus:
Markov Processes, Gaussian Processes, and Local Times - new book

2006, ISBN: 9780511243318

ID: 9780511243318

This book was first published in 2006. Written by two of the 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 &apos mini-courses&apos on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and 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 and 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. Markov Processes, Gaussian Processes, and Local Times: This book was first published in 2006. Written by two of the 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 &apos mini-courses&apos on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and 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 and 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., Cambridge University Press

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Markov Processes, Gaussian Processes, and Local Times - Marcus, Michael B.
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Marcus, Michael B.:
Markov Processes, Gaussian Processes, and Local Times - new book

10, ISBN: 9780511243318

ID: 101159780511243318

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 deve 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. Differential Equations, Mathematics, Markov Processes, Gaussian Processes, and Local Times~~ Marcus, Michael B.~~Differential Equations~~Mathematics~~9780511243318, en, Markov Processes, Gaussian Processes, and Local Times, Marcus, Michael B., 9780511243318, Cambridge University Press, 10/01/2006, , , , Cambridge University Press, 10/01/2006

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Markov Processes, Gaussian Processes, and Local Times - Michael B. Marcus#Jay Rosen
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Michael B. Marcus#Jay Rosen:
Markov Processes, Gaussian Processes, and Local Times - new book

2006, ISBN: 9780511243318

ID: 125804540

This book was first published in 2006. Written by two of the 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 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 and 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. Markov Processes, Gaussian Processes, and Local Times eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Mathematik, Cambridge University Press

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Markov Processes, Gaussian Processes, and Local Times - Cambridge Studies in Advanced Mathematics Series, Book 100 - Michael B. Marcus, Jay Rosen
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Michael B. Marcus, Jay Rosen:
Markov Processes, Gaussian Processes, and Local Times - Cambridge Studies in Advanced Mathematics Series, Book 100 - new book

ISBN: 9780511243318

ID: 180790

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., [PU: Cambridge University Press]

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Markov Processes, Gaussian Processes, and Local Times - Michael B. Marcus;  Jay Rosen
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Michael B. Marcus; Jay Rosen:
Markov Processes, Gaussian Processes, and Local Times - First edition

2006, ISBN: 9780511243318

ID: 26204918

[ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Cambridge University Press]

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Details of the book
Markov Processes, Gaussian Processes, and Local Times
Author:

Marcus, Michael B.;Rosen, Jay

Title:

Markov Processes, Gaussian Processes, and Local Times

ISBN:

Details of the book - Markov Processes, Gaussian Processes, and Local Times


EAN (ISBN-13): 9780511243318
Publishing year: 2006
Publisher: Cambridge University Press

Book in our database since 08.01.2007 09:55:17
Book found last time on 07.06.2016 16:46:24
ISBN/EAN: 9780511243318

ISBN - alternate spelling:
978-0-511-24331-8


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