Title: Analyse statistique bayésienne
First published: 1994
Description: 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 statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration including Gibbs sampling, and other MCMC techniques. It was awarded the 2004 DeGroot Prize by the International Society for Bayesian Analysis (ISBA) for setting "a new standard for modern textbooks dealing with Bayesian methods, especially those using MCMC techniques, and that it is a worthy successor to DeGroot's and Berger's earlier texts".
([source][1])


  [1]: https://www.springer.com/us/book/9780387952314
Subjects: Bayesian statistical decision theory, Bayesian statistics, decision theory, statistical theory, complete class theorems -- statistics, Statistics, Mathematical statistics, Statistical Theory and Methods, Mathematics, Distribution (Probability theory), Probability Theory and Stochastic Processes, Bayes Theorem, Decision Support Techniques