Bayesian Computation with R

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Albert, Jim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Use R!,
Temas:
Mathematical statistics-Data processing.
Computer simulation.
Mathematics-Data processing.
Information visualization.
Mathematical optimization.
Statistics and Computing.
Computer Modelling.
Computational Mathematics and Numerical Analysis.
Data and Information Visualization.
Optimization.
Acceso en línea:Texto Completo
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.

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