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Author: 凯撒大帝演唱

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Bayesian regression modeling with INLA /

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...

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Bibliographic Details
Main Authors: Wang, Xiaofeng Professor of medicine
Group Author: Yue, Yu, 1981; Faraway, Julian James
Published: CRC Press,
Publisher Address: Boca Raton :
Publication Dates: [2018]
Literature type: Book
Language: English
Series: Chapman & Hall/CRC computer science and data analysis series
Subjects:
Regression analysis
Bayesian statistical decision theory
Laplace transformation
Gaussian processes
Summary: 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.--
Carrier Form: xii, 312 pages : illustrations, forms ; 24 cm.
Bibliography: Includes bibliographical references (pages 297-308) and index.
ISBN: 9781498727259 (hardback) :
1498727255 (hardback)
Index Number: QA278
CLC: O212
Call Number: O212/W246-1

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