Markov Processes, Gaussian Processes, and Local Times: 100 (Cambridge Studies in Advanced Mathematics, Series Number 100) - Softcover
Book 33 of 140: Cambridge Studies in Advanced Mathematics
Synopsis
A readable 2006 synthesis of three main areas in the modern theory of stochastic processes.
"synopsis" may belong to another edition of this title.
Review
Review of the hardback: 'This is a masterly written text which should be accessible to advanced graduate students and non-specialists. For the researcher interested in Gaussian processes or local times it will become an indispensable standard resource.' Zentralblatt MATH
Review of the hardback: 'The authors make every effort to make the material accessible, and the proofs presented are often much easier than the original ones. The material is well organized and well presented.' Journal of the American Statistical Association
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.
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Markov Processes, Gaussian Processes, and Local Times (Paperback)
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Paperback. Condition: new. Paperback. 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107403758
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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 (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: Cambridge Studies in Advanced Mathematics. Num Pages: 632 pages, black & white illustrations. BIC Classification: PBK; PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 157 x 231 x 42. Weight in Grams: 950. . 2011. Reissue. paperback. . . . . Seller Inventory # V9781107403758
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Paperback. Condition: new. Paperback. 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 # 9781107403758
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