### Mevcut:*

Materyal Türü | Demirbaş Numarası | Yer Numarası | Raf Konumu | Mevcut Konumu | Materyal Istek |
---|---|---|---|---|---|

E-Kitap | 1816339-1001 | QA276 -280 | SPRINGER E-Kitap Koleksiyonu | Arıyor... | Arıyor... |

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### Özet

### Özet

Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. Early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling.