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Bayesian Regression Modeling Inla by Wang Xiaofeng (29 results)
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BAYESIAN REGRESSION MODELING WITH INLA (CHAPMAN & HALL/CRC COMPUTER SCIENCE AND DATA ANALYSIS SERIES)
Language: English
Published by CRC Press, Boca Raton, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Octavo, xii, 312 pages. In Very Good condition.Spine is white with black print. Boards in glossy illustrated paper. Illustrated: b&w graphs, tables. NOTE: Shelved in Netdesk Column G. 1379568. FP New Rockville Stock.
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Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good. Cover and edges may have some wear.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New. pp. 324.
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Condition: New. pp. 324.
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Bayesian Regression Modeling With Inla
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 Regression Modeling With Inla
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Regression Modeling with INLA
Language: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367572265 ISBN 13: 9780367572266
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 598.
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Condition: New. pp. 324.
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Paperback. Condition: Brand New. 324 pages. 9.21x6.14x0.71 inches. In Stock.
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Bayesian Regression Modeling With Inla
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Condition: As New. Unread book in perfect condition.
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Bayesian Regression Modeling With Inla
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Condition: New.
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Bayesian Regression Modeling With Inla
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Condition: New.
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Bayesian Regression Modeling With Inla
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
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 Regression Modeling With Inla
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Condition: New.
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Hardcover. Condition: Brand New. 312 pages. 9.25x6.25x1.00 inches. In Stock.
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Bayesian Regression Modeling With Inla
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Regression Modeling with INLA
Language: English
Published by Taylor & Francis Inc, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Bayesian Regression Modeling With Inla
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Condition: New.
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Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498727255 ISBN 13: 9781498727259
Hardcover. Condition: New. New. book.
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Gebunden. Condition: New. INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient.
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Buch. Condition: Neu. Neuware - This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a promising alternative to Markov chain Monte Carlo (MCMC) algorithms, which come with a range of issues that impede practical use of Bayesian models.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Bayesian Regression Modeling with INLA
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 61.26
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.
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Bayesian Regression Modeling with INLA
Language: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367572265 ISBN 13: 9780367572266
Taschenbuch. Condition: Neu. Bayesian Regression Modeling with INLA | Xiaofeng Wang (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367572266 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Bayesian Regression Modeling with INLA
Language: English
Published by Chapman And Hall/CRC, 2020
ISBN 10: 0367572265 ISBN 13: 9780367572266
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.
