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Markov Processes, Gaussian Processes, and Local Times (Cambridge Studies in Advanced Mathematics, Series Number 100) - Hardcover
Book 34 of 151: Cambridge Studies in Advanced Mathematics
Synopsis
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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Book Description
Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.
About the Author
Jay Rosen is Professor of Mathematics at The Graduate Center and the College of Staten Island, City University of New York. A leading expert on stochastic processes, he has published over eighty research papers. He is a Fellow of the Institute of Mathematical Statistics.
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Markov Processes, Gaussian Processes, and Local Times. (Cambridge Studies in Advanced Mathematics, 100, Band 100)
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Markov Processes, Gaussian Processes, and Local Times (Cambridge Studies in Advanced Mathematics) (Cambridge Studies in Advanced Mathematics, 100, Band 100)
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Markov Processes, Gaussian Processes, and Local Times (Cambridge Studies in Advanced Mathematics, Series Number 100)
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Markov Processes, Gaussian Processes, and Local Times: 100 (Cambridge Studies in Advanced Mathematics, Series Number 100)
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Condition: New. A readable 2006 synthesis of three main areas in the modern theory of stochastic processes. Series Editor(s): Bollobas, B.; Fulton, W.; Katok, A.; Kirwan, F.; Sarnak, P.; Simon, B.; Totaro, B. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 632 pages, black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 230 x 162 x 40. Weight in Grams: 964. . 2006. 1st Edition. hardcover. . . . . Seller Inventory # V9780521863001
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Markov Processes, Gaussian Processes, and Local Times (Cambridge Studies in Advanced Mathematics, Series Number 100)
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Markov Processes, Gaussian Processes, and Local Times
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Markov Processes, Gaussian Processes, and Local Times
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Hardback. Condition: New. 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. Seller Inventory # LU-9780521863001
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Markov Processes, Gaussian Processes, and Local Times
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Markov Processes, Gaussian Processes, and Local Times (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521863001
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Markov Processes, Gaussian Processes, and Local Times: 100 (Cambridge Studies in Advanced Mathematics, Series Number 100)
Published by
Cambridge University Press, 2006
ISBN 10: 0521863007
ISBN 13: 9780521863001
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Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Condition: New. A readable 2006 synthesis of three main areas in the modern theory of stochastic processes. Series Editor(s): Bollobas, B.; Fulton, W.; Katok, A.; Kirwan, F.; Sarnak, P.; Simon, B.; Totaro, B. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 632 pages, black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 230 x 162 x 40. Weight in Grams: 964. . 2006. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521863001