Bayesian Regression Modeling Inla by Wang Xiaofeng (28 results)

Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
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Language: English
Published by Routledge 2020-06-30, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
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Condition: New. pp. 324.

Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Condition: New. pp. 324.

Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Language: English
Published by Taylor & Francis Ltd, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Language: English
Published by Routledge, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Condition: New. pp. 324.

Language: English
Published by Taylor and Francis Ltd, GB, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Paperback. 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 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.…

Language: English
Published by Chapman & Hall, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Paperback. Condition: Brand New. 324 pages. 9.21x6.14x0.71 inches. In Stock.

Language: English
Published by Chapman and Hall/CRC, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Taylor & Francis Group, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Taylor & Francis Inc, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Taylor & Francis Group, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Chapman & Hall, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Taylor & Francis Group, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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Language: English
Published by Taylor and Francis Ltd, GB, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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Paperback. 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 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.…

Language: English
Published by CRC Press, 2018
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
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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.

Language: English
Published by CRC Press, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
- Print on Demand
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Language: English
Published by CRC Press, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
- Print on Demand
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PAP. 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.

Language: English
Published by CRC Press, 2020
Series: Book 19 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
- Print on Demand
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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.…