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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 methods.
Additional Information:
| Title | : A First Course in Bayesian Statistical Methods |
| Author | : Peter D. Hoff |
| Item ID | : V8jT2SimGR0C |
| Publisher | : Springer Science & Business Media |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 272 |
| Category | : Mathematics |
| Published Date | : 2009-06-02 |
| Language | : en |
| Isbn 10 | : 0387924078 |
| Isbn 13 | : 9780387924076 |
| Sale Info | : FOR_SALE |
| Price | : 48.87 EUR |
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