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Bayesian Regression Modeling with Inla

Bayesian Regression Modeling with Inla

Faraway, Julian James, Wang, Xiaofeng, Yue, Yu
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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.
种类:
年:
2018
出版社:
CRC Press
语言:
english
页:
312
ISBN 10:
1498727263
ISBN 13:
9781498727266
系列:
Chapman & Hall/CRC Computer Science & Data Analysis
文件:
PDF, 19.43 MB
IPFS:
CID , CID Blake2b
english, 2018
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