A First Course in Bayesian Statistical Methods - Peter D. Hoff
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A self-contained introduction to probability, exchangeability and Bayes¿ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational metho ... Full description
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Description
A self-contained introduction to probability, exchangeability and Bayes¿ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
More Information
| Author | Peter D. Hoff |
|---|---|
| Publisher | Springer US |
| Series | Springer Texts in Statistics |
| Release year | 2010 |
| Cover type | Softcover |
| EAN | 9781441928283 |