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Xiaofeng Wang Yu Ryan Yue Julian Faraway
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دانلود کتاب Bayesian Regression Modeling with INLA
by Xiaofeng Wang, Yu Ryan Yue, Julian Faraway|
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عنوان فارسی: مدل سازی رگرسیون بیزی با INLA |
دانلود کتاب
جزییات کتاب
Features
Covers a variety of regression models
Discusses real case studies
Includes R code examples
Explains innovative and efficient Bayesian inference
Handles complex data
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.
Covers a variety of regression models
Discusses real case studies
Includes R code examples
Explains innovative and efficient Bayesian inference
Handles complex data
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.
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