Science/Engineering Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information (0387982337)

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

Posted on 2010-03-15

Name:	Science/Engineering Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
ASIN/ISBN:	0387982337
Language:	English
File size:	10.6 Mb
Publish Date:	1997-07-31
ISBN:	0387982337
Pages:	110 pages
File Type:	PDF
Other Info:	Springer; 1MB

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

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

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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