By Peter D. Hoff
A self-contained advent to likelihood, exchangeability and Bayes’ rule offers a theoretical knowing of the utilized fabric.
Numerous examples with R-code that may be run "as-is" enable the reader to accomplish the information analyses themselves.
The improvement of Monte Carlo and Markov chain Monte Carlo equipment within the context of knowledge research examples presents motivation for those computational methods.
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Extra resources for A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics) by Peter D. Hoff