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

Jeffrey H. Dorfman

ISBN 10: 0387982337 / ISBN 13: 9780387982335

Edité par Springer-Verlag New York Inc., 1997

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This item is printed on demand. New copy - Usually dispatched within 5-9 working days 384. N° de réf. du vendeur C9780387982335

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Titre : Bayesian Economics Through Numerical Methods...

Éditeur : Springer-Verlag New York Inc.

Date d'édition : 1997

Reliure : Hardback

Etat : New

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Synopsis :

Providing researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies, this book covers the full range of the new numerical techniques which have been developed over the last thirty years. Notably, these are: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems, and includes applications drawn from a variety of different fields within economics, while also providing a quick overview of the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing topic.