Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information - Brossura

Dorfman, Jeffrey H. H.

 
9781475771022: Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information

Sinossi

The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

Theory and Basics.- A Quick Course in Bayesian Statistics and Decision Theory.- New Advances in Numerical Bayesian Techniques.- Applications in Econometrics.- Imposing Economic Theory.- Studying Parameters of Interest.- Unit Root and Cointegration Tests.- Model Specification Uncertainty.- Forecasting.- More Realistic Models Through Numerical Methods.- Applications to Economic Decision Making.- Decision Theory Applications.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780387982335: Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information

Edizione in evidenza

ISBN 10:  0387982337 ISBN 13:  9780387982335
Casa editrice: Springer-Verlag GmbH, 1997
Rilegato