Bayesian Choice - From Decision-Theoretic Foundations to Computational ImplementationPaperback
Bayesian Choice - From Decision-Theoretic Foundations to Computational ImplementationPaperback This graduate-level textbook presents an introduction to Bayesian statistics and decision theory. It is…
Specifikacia Bayesian Choice - From Decision-Theoretic Foundations to Computational ImplementationPaperback
Bayesian Choice - From Decision-Theoretic Foundations to Computational ImplementationPaperback
This graduate-level textbook presents an introduction to Bayesian statistics and decision theory. It is the translation of a successful French text. Its scope covers both the basic ideas of statistical theory, but also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, Stein effects, hierarchical and empirical modelling, and Gibbs sampling.
From reviews of the French edition: "I strongly encourage everyone teaching Bayesian decision theory to use (this) as the main textbook." Journal of the American Statistical Association In the translation to the English edition, the author has taken the opportunity to add and update material, and to include many problems and exercises for students.