ENGLISH

Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information

By Jeffrey H. Dorfman

Book information

Publisher
Springer
Year
1997
ISBN
0387982337, 9780387982335
LCC
HB139 .D674 1997
Open Library ID
OL666476M
Language
english
Format
PDF
Filesize
697 kB (713687 bytes)
Edition
1
Pages
119\119
Time added
2011-01-06 10:13:16
Финансово-экономические дисциплины;Эконометрика

Description

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.

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