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Více informací o knize Bayesian Economics Through Numerical Methods

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Economics Econometrics

• Plný název: Bayesian Economics Through Numerical Methods
• Podnázev: A Guide to Econometrics and Decision-Making with Prior Information
• Autor: Jeffrey H. Dorfman
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 110
• EAN: 9780387982335
• ISBN: 0387982337
• ID: 01385420
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 780 g
• Rozměry: 235 × 155 × 12 mm
• Datum vydání: 31. July 1997

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