Christian P. Robert Libros

This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.

Markov chain Monte Carlo methods were developed to provide the experimenter with realistic models. Written by two leading researchers, this up-to-date reference covers an important area of statistic which has many applications to engineering, aeronautics, biology, networks, and astronomy.