Bayesian Hierarchical Models
by Peter D. CongdonEstimated delivery 3-12 business days
Format Paperback
Condition Brand New
Description This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.
An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior :
Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling
Includes many real data examples to illustrate different modelling topics
R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation
Software options and coding principles are introduced in new chapter on computing
Programs and data sets available on the book's website
- ISBN 1032177152
- ISBN-13 9781032177151
- Title Bayesian Hierarchical Models
- Author Peter D. Congdon
- Format Paperback
- Year 2021
- Pages 592
- Edition 2nd
- Publisher Taylor & Francis Ltd
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