The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation

The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation

Winner of the 2004 DeGroot Prize This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statist...

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Detalles Bibliográficos
Autor principal: Robert, Christian. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : Springer New York 2007.
Edición:2nd ed. 2007.
Colección:Springer Texts in Statistics,
Materias:
Probabilities.
Statistics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009461026806719
Tabla de Contenidos:
  • Decision-Theoretic Foundations
  • From Prior Information to Prior Distributions
  • Bayesian Point Estimation
  • Tests and Confidence Regions
  • Bayesian Calculations
  • Model Choice
  • Admissibility and Complete Classes
  • Invariance, Haar Measures, and Equivariant Estimators
  • Hierarchical and Empirical Bayes Extensions
  • A Defense of the Bayesian Choice.

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