A First Course in Bayesian Statistical Methods - Peter D. Hoff
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Peter D. Hoff |
|---|---|
| Julkaisija | Springer US |
| Series | Springer Texts in Statistics |
| Julkaisuvuosi | 2010 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781441928283 |