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{
"item_title" : "Bayesian Regression Modeling with INLA",
"item_author" : [" Xiaofeng Wang", "Yu Ryan Yue", "Julian J. Faraway "],
"item_description" : "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 p",
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Bayesian Regression Modeling with INLA
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Overview
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 p
This item is Non-Returnable
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Details
- ISBN-13: 9780367572266
- ISBN-10: 0367572265
- Publisher: CRC Press
- Publish Date: June 2020
- Dimensions: 9.21 x 6.14 x 0.68 inches
- Shipping Weight: 1.01 pounds
- Page Count: 324
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