Bayesian Inference For Stochastic Processes
Lyle D. Broemeling
Published by T And F India, 2019
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ISBN:9780367240219,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition. Seller Inventory # 2392473
Bibliographic Details
Title: Bayesian Inference For Stochastic Processes
Publisher: T And F India
Publication Date: 2019
Binding: Hardcover
Condition: New
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Bayesian Inference For Stochastic Processes
International EditionSeller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABNR-6062
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Bayesian Inference For Stochastic Processes
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Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. Seller Inventory # ASNT3-6062
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Bayesian Inference for Stochastic Processes
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Bayesian Inference for Stochastic Processes | Lyle D. Broemeling | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367572433 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 133169444
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Bayesian Inference for Stochastic Processes
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Bayesian Inference for Stochastic Processes
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Bayesian Inference for Stochastic Processes
Published by
Chapman And Hall/CRC Jun 2020, 2020
ISBN 10: 0367572435
ISBN 13: 9780367572433
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the Bayesian approach (including the optimal use of prior information). Initially, the book begins with a brief review of Bayesian inference and uses many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete state space and continuous time and continuous state space. The elements necessary to understanding stochastic processes are then introduced, followed by chapters devoted to the Bayesian analysis of such processes. It is important that a chapter devoted to the fundamental concepts in stochastic processes is included. Bayesian inference (estimation, testing hypotheses, and prediction) for discrete time Markov chains, for Markov jump processes, for normal processes (e.g. Brownian motion and the Ornstein-Uhlenbeck process), for traditional time series, and, lastly, for point and spatial processes are described in detail. Heavy emphasis is placed on many examples taken from biology and other scientific disciplines. In order analyses of stochastic processes, it will use R and WinBUGS.Features:Uses the Bayesian approach to make statistical Inferences about stochastic processesThe R package is used to simulate realizations from different types of processesBased on realizations from stochastic processes, the WinBUGS package will provide the Bayesian analysis (estimation, testing hypotheses, and prediction) for the unknown parameters of stochastic processesTo illustrate the Bayesian inference, many examples taken from biology, economics, and astronomy will reinforce the basic concepts of the subjectA practical approach is implemented by considering realistic examples of interest to the scientific communityWinBUGS and R code are provided in the text, allowing the reader to easily verify the results of the inferential procedures found in the many examples of the book Readers with a good background in two areas, probability theory and statistical inference, should be able to master the essential ideas of this book. 450 pp. Englisch. Seller Inventory # 9780367572433
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Bayesian Inference for Stochastic Processes
Print on DemandSeller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Lyle D. Broemeling, Ph.D., is Director of Broemeling and Associates Inc., and is a consulting biostatistician. He has been involved with academic health science centers for about 20 years and has taught and been a consultant at the University of Texas Me. Seller Inventory # 594589971
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Bayesian Inference For Stochastic Processes
Published by
T And F India, 2019
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Seller: Books in my Basket, New Delhi, India
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Hardcover. Condition: New. ISBN:9780367240219,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition. Seller Inventory # 2438556
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Bayesian Inference for Stochastic Processes
Seller: Majestic Books, Hounslow, United Kingdom
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Bayesian Inference for Stochastic Processes
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Condition: New. Seller Inventory # 41471140-n