株式会社極東書店トップ商品一覧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.

Bayesian Economics through Numerical Methods. A Guide to Econometrics and Decision-Making with Prior Information. 数値方法を通じてのベイズ経済学

・ISBN 978-0-387-98233-5 hard EUR 49.99

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お気に入り
著者・編者Dorfman, J. H.,
出版社(Springer, US)
出版年月1997
ページ数110 pp.
言語ENG
ニュース番号<434-104>

解説

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.