Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.Petros Dellaportas is a Professor at the Athens University of Economics and Business.Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.

• I EXCHANGEABILITY; II HIERARCHICAL MODELS; III MARKOV CHAIN MONTE CARLO; IV DYNAMIC MODELS; V SEQUENTIAL MONTE CARLO; VI NONPARAMETRICS; VII SPLINE MODELS AND COPULAS; VIII MODEL ELABORATION AND PRIOR DISTRIBUTIONS; IX REGRESSIONS AND MODEL AVERAGING; X FINANCE AND ACTUARIAL SCIENCE; XI MEDICINE AND BIOSTATISTICS; XII INVERSE PROBLEMS AND APPLICATIONS

most chapter introductions are extremely helpful for the matter and the extensive literatures on each topic make the book a useful addition to a statistician's library. I would recommend it to everybody interested in Bayesian statistics or not as a very useful piece of statistical literature.

Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.Petros Dellaportas is a Professor at the Athens University of Economics and Business.Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.

• I EXCHANGEABILITY; II HIERARCHICAL MODELS; III MARKOV CHAIN MONTE CARLO; IV DYNAMIC MODELS; V SEQUENTIAL MONTE CARLO; VI NONPARAMETRICS; VII SPLINE MODELS AND COPULAS; VIII MODEL ELABORATION AND PRIOR DISTRIBUTIONS; IX REGRESSIONS AND MODEL AVERAGING; X FINANCE AND ACTUARIAL SCIENCE; XI MEDICINE AND BIOSTATISTICS; XII INVERSE PROBLEMS AND APPLICATIONS

most chapter introductions are extremely helpful for the matter and the extensive literatures on each topic make the book a useful addition to a statistician's library. I would recommend it to everybody interested in Bayesian statistics or not as a very useful piece of statistical literature.

Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.Petros Dellaportas is a Professor at the Athens University of Economics and Business.Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.

• I EXCHANGEABILITY; II HIERARCHICAL MODELS; III MARKOV CHAIN MONTE CARLO; IV DYNAMIC MODELS; V SEQUENTIAL MONTE CARLO; VI NONPARAMETRICS; VII SPLINE MODELS AND COPULAS; VIII MODEL ELABORATION AND PRIOR DISTRIBUTIONS; IX REGRESSIONS AND MODEL AVERAGING; X FINANCE AND ACTUARIAL SCIENCE; XI MEDICINE AND BIOSTATISTICS; XII INVERSE PROBLEMS AND APPLICATIONS

most chapter introductions are extremely helpful for the matter and the extensive literatures on each topic make the book a useful addition to a statistician's library. I would recommend it to everybody interested in Bayesian statistics or not as a very useful piece of statistical literature.