Abstract
2nd ed. An introduction to R -- Introduction to Bayesian thinking -- Single-parameter models -- Multiparameter models -- Introduction to Bayesian computation -- Markov chain Monte Carlo methods -- Hierarchical modeling -- Model comparison -- Regression models -- Gibbs sampling -- Using R to interface with WinBUGS.
Cite
CITATION STYLE
APA
Mwitondi, K. S. (2011). Bayesian computation with R. Journal of Applied Statistics, 38(10), 2367–2368. https://doi.org/10.1080/02664763.2010.484893
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