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Bayesian Economics Through Numerical Methods - A Guide to Econometrics and Decision-Making with Prior Information (Paperback, Softcover reprint of the original 1st ed. 1997)
Loot Price: R1,441
Discovery Miles 14 410
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Bayesian Economics Through Numerical Methods - A Guide to Econometrics and Decision-Making with Prior Information (Paperback, Softcover reprint of the original 1st ed. 1997)
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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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