Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)

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

• | Author: Xiaofeng Wang, Yu Yue Ryan, Julian James Faraway
• | Publisher: Routledge
• | Publication Date: Jun 30, 2020
• | Number of Pages: 324 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367572265
• | ISBN-13: 9780367572266