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

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	July 1997
First published:	1997
Authors:	Jeffrey H Dorfman
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Hardcover
Pages:	110
ISBN-13:	978-0-387-98233-5
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > Economic statistics Promotions
LSN:	0-387-98233-7
Barcode:	9780387982335

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