Bayesian hierarchical models: with applications using R
by Congdon, P.
"The 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 …
Read More ↓Title Statements
- Full title :Bayesian hierarchical models : with applications using R / by Peter D. Congdon.
Summary
"The 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"--
Read More ↓Edition Statements
- Publication Date:2020
- Edition:Second edition
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2020
Notes
Revised edition of: Applied Bayesian hierarchical methods. c2010.
"A Chapman & Hall Book.".
The Physical Object
- Description:xi, 579 pages : : illustrations ; : 27 cm
Edition Identifiers
- ISBN:9781032177151, 1032177152, 9781498785754, 1498785751
- oclc:on1120190901
- LC Classification:QA279.5
- Dewey Decimal:519.5/42
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