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

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Author name: Jeffrey H. Dorfman

 : Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
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Type of bind: Hardcover
Dewey Decimal Number: 330.015195
EAN num: 9780387982335
ISBN number: 0387982337
Label: Springer
Manufacturer: Springer
Quantity: 1
Page Count: 110
Printing Date: July 31, 1997
Publishing house: Springer
Sale Popularity Level: 1740310
Studio: Springer




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Editor's Notes and Comments:

Product Description:
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. The author covers both advances in theory and modern approaches to numerical and applied problems. The book includes applications drawn from a variety of different fields within economics and also provides a quick overview to 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 research topic.







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