Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods
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Bayesian Economics Through Numerical Methods

A Guide to Econometrics and Decision-Making with Prior Information

Jeffrey H. Dorfman

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Hardback
31 July 1997
$92.00
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Description  
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.
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$92.00
In Stock: Ships in 4-6 Working Days
In Stock: Ships in 7-9 Days
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Flat Rate Shipping  
Easy Returns  

Bayesian Economics Through Numerical Methods

$92.00

Description

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.

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