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Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making With Prior Information - Couverture rigide
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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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition1997
- ISBN 10 0387982337
- ISBN 13 9780387982335
- ReliureRelié
- Langueanglais
- Nombre de pages110
- Coordonnées du fabricantnon disponible
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Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
Edité par
Springer, 1997
ISBN 10 : 0387982337
ISBN 13 : 9780387982335
Ancien ou d'occasion
Couverture rigide
Vendeur : My Dead Aunt's Books, Hyattsville, MD, Etats-Unis
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Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
Edité par
Springer, 1997
ISBN 10 : 0387982337
ISBN 13 : 9780387982335
Ancien ou d'occasion
Couverture rigide
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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
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Bayesian Economics Through Numerical Methods
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Bayesian Economics Through Numerical Methods
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Springer New York Jul 1997, 1997
ISBN 10 : 0387982337
ISBN 13 : 9780387982335
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch. N° de réf. du vendeur 9780387982335
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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
Edité par
Springer New York, Springer US, 1997
ISBN 10 : 0387982337
ISBN 13 : 9780387982335
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9780387982335
Quantité disponible : 1 disponible(s)