By Peter D. Hoff
A self-contained creation to chance, exchangeability and Bayes’ rule presents a theoretical figuring out of the utilized fabric.
Numerous examples with R-code that may be run "as-is" enable the reader to accomplish the knowledge analyses themselves.
The improvement of Monte Carlo and Markov chain Monte Carlo tools within the context of knowledge research examples offers 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