Bayesian Theory and Applications -
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Toimitus 15-21 arkipäivässä
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.
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Kuvaus
The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.
Lisätietoja
| Julkaisija | OUP Oxford |
|---|---|
| Julkaisuvuosi | 2015 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9780198739074 |