An Introduction to Bayesian Analysis Theory and Methods
This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be...
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York
2006.
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| Colección: | Springer Texts in Statistics.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32736617*spi |
Tabla de Contenidos:
- Statistical Preliminaries
- Bayesian Inference and Decision Theory
- Utility, Prior, and Bayesian Robustness
- Large Sample Methods
- Choice of Priors for Low-dimensional Parameters
- Hypothesis Testing and Model Selection
- Bayesian Computations
- Some Common Problems in Inference
- High-dimensional Problems
- Some Applications.
