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Bayesian Essentials with R
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
|
| Edición: | 2nd ed. 2014. |
| Colección: | Springer Texts in Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- User's Manual
- Normal Models
- Regression and Variable Selection
- Generalized Linear Models
- Capture-Recapture Experiments
- Mixture Models
- Time Series
- Image Analysis
- References
- Index.