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Markov Processes, Gaussian Processes, and Local Times Hardback: 100 (Cambridge Studies in Advanced Mathematics, Series Number 100) - Hardcover
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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.
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Über die Autorin bzw. den Autor
Michael B. Marcus is Professor of Mathematics at City College and The CUNY Graduate Center. A leading expert on stochastic processes, he has published over one hundred research papers and delivered over 200 invited lectures. He is a Fellow of the Institute of Mathematical Statistics. 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, Series Number 100)
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, whi. Bestandsnummer des Verkäufers 446951125
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Markov Processes, Gaussian Processes, and Local Times. (Cambridge Studies in Advanced Mathematics, 100, Band 100).
Verlag:
Cambridge University Press., 2006
ISBN 10: 0521863007
ISBN 13: 9780521863001
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Markov Processes, Gaussian Processes, and Local Times (Hardcover)
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ISBN 10: 0521863007
ISBN 13: 9780521863001
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Hardcover. Zustand: 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9780521863001
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9780521863001
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Markov Processes, Gaussian Processes, and Local Times
Verlag:
Cambridge University Press CUP, 2006
ISBN 10: 0521863007
ISBN 13: 9780521863001
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