Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems the need for a comprehensive up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpointBayesian Analysis of Linear Models fills this need. Plus this definitive volume containssomething traditional-a review of Bayesian techniques and methods of estimation hypothesistesting and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed models and models not generally studied by statisticianssuch as linear dynamic systems and changing parameter models ... and somethingpractical-clear graphs eary-to-understand examples end-of-chapter problems numerousreferences and a distribution appendix.Comprehensible unique and in-depth Bayesian Analysis of Linear Models is the definitivemonograph for statisticians econometricians and engineers. In addition this text isideal for students in graduate-level courses such as linear models econometrics andBayesian inference.