By Peter D. Hoff
A self-contained advent to likelihood, exchangeability and Bayes’ rule offers a theoretical figuring out of the utilized fabric.
Numerous examples with R-code that may be run "as-is" permit the reader to accomplish the information analyses themselves.
The improvement of Monte Carlo and Markov chain Monte Carlo tools within the context of information research examples offers motivation for those computational methods.
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Extra info 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