Bayesian computation with R
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for stat...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York, New York :
Springer
[2009]
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| Colección: | Use R!
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009462121206719 |
Tabla de Contenidos:
- An Introduction to R
- to Bayesian Thinking
- Single-Parameter Models
- Multiparameter Models
- to Bayesian Computation
- Markov Chain Monte Carlo Methods
- Hierarchical Modeling
- Model Comparison
- Regression Models
- Gibbs Sampling
- Using R to Interface with WinBUGS.
