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Bayesian Inference Stochastic Processes by Broemeling Lyle (32 results)
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International EditionCondition: 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.
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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.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Bayesian Inference for Stochastic Processes
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Bayesian Inference for Stochastic Processes
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Bayesian Inference for Stochastic Processes
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Bayesian Inference for Stochastic Processes
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Bayesian Inference for Stochastic Processes
Language: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367572435 ISBN 13: 9780367572433
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Paperback. Condition: Brand New. 448 pages. 10.00x7.01x1.10 inches. In Stock.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367572435 ISBN 13: 9780367572433
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.
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Hardcover. Condition: New. New. book.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC 2017-12-15, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Hardcover. Condition: New.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Condition: New.
-
Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Condition: As New. Unread book in perfect condition.
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BAYESIAN INFERENCE FOR STOCHASTIC PROCESSES
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Condition: New.
-
Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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BAYESIAN INFERENCE FOR STOCHASTIC PROCESSES
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Condition: New.
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Gebunden. Condition: New. 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.
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BAYESIAN INFERENCE FOR STOCHASTIC PROCESSES
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Condition: New.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Taylor & Francis Ltd Dez 2017, 2017
ISBN 10: 1138196134 ISBN 13: 9781138196131
Buch. Condition: Neu. Neuware.
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Bayesian Inference for Stochastic Processes
Language: English
Published by Chapman And Hall/CRC Jun 2020, 2020
ISBN 10: 0367572435 ISBN 13: 9780367572433
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
