Bayesian Regression Modeling with INLA - Info and Reading Options
By Xiaofeng Wang, Julian J. Faraway and Yu Ryan Yue

"Bayesian Regression Modeling with INLA" was published by Taylor & Francis Group in 2018 - Boca Raton, it has 312 pages and the language of the book is English.
“Bayesian Regression Modeling with INLA” Metadata:
- Title: ➤ Bayesian Regression Modeling with INLA
- Authors: Xiaofeng WangJulian J. FarawayYu Ryan Yue
- Language: English
- Number of Pages: 312
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton
“Bayesian Regression Modeling with INLA” Subjects and Themes:
- Subjects: ➤ Regression analysis - Bayesian statistical decision theory - Laplace transformation - Gaussian processes - MATHEMATICS - Applied - Probability & Statistics - General
Edition Specifications:
- Weight: 0.591
- Pagination: 312
Edition Identifiers:
- The Open Library ID: OL34636200M - OL21624441W
- ISBN-13: 9781498727259
- All ISBNs: 9781498727259
AI-generated Review of “Bayesian Regression Modeling with INLA”:
"Bayesian Regression Modeling with INLA" Description:
Open Data:
"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."--Provided by publisher
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