Description: Bayesian Economics Through Numerical Methods : A Guide to Econometrics and Decision-making With Prior Information, Paperback by Dorfman, Jeffrey H., ISBN 1475771029, ISBN-13 9781475771022, Like New Used, Free shipping in the US 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.
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Book Title: Bayesian Economics Through Numerical Methods : A Guide to Econome
Number of Pages: VIII, 110 Pages
Publication Name: Bayesian Economics Through Numerical Methods : A Guide to Econometrics and Decision-Making with Prior Information
Language: English
Publisher: Springer New York
Item Height: 0.1 in
Publication Year: 2013
Subject: Econometrics, Statistics, Probability & Statistics / Bayesian Analysis
Item Weight: 7.1 Oz
Type: Textbook
Item Length: 9.3 in
Author: Jeffrey H. Dorfman
Subject Area: Mathematics, Business & Economics
Item Width: 6.1 in
Format: Trade Paperback
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