The BUGS Book: A Practical Introduction to Bayesian Analysis. By David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter. Boca Raton, Florida: CRC Press. 2013. 381 pages. ISBN 978-1-58488-849-9.
DOI10.1111/ANZS.12058zbMath1335.00014OpenAlexW2076188207MaRDI QIDQ2803547
Publication date: 2 May 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/anzs.12058
Software, source code, etc. for problems pertaining to statistics (62-04) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) External book reviews (00A17)
Uses Software
Cites Work
- Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes
- Sampling-Based Approaches to Calculating Marginal Densities
- Bayesian Modeling Using WinBUGS
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
- Introducing Monte Carlo Methods with R
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