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Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information - Softcover
Synopsis
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.
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- PublisherSpringer
- Publication date2013
- ISBN 10 1475771029
- ISBN 13 9781475771022
- BindingPaperback
- LanguageEnglish
- Number of pages118
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Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch. Seller Inventory # 9781475771022
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781475771022
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