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Introduction to Bayesian Econometrics

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ISBN-10: 0521858712

ISBN-13: 9780521858717

Edition: 2008

Authors: Edward Greenberg

List price: $54.99
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Introduces the increasingly popular Bayesian approach to statitistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political…    
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Book details

List price: $54.99
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 10/8/2007
Binding: Hardcover
Pages: 222
Size: 7.00" wide x 10.00" long x 0.75" tall
Weight: 1.232
Language: English

Fundamentals of Bayesian Inference
Basic concepts of probability and inference
Posterior distributions and inference
Prior distributions
Classical simulation
Basics of Markov chains
Simulation by MCMC methods
Linear regression and extensions
Multivariate responses
Time series
Endogenous covariates and sample selection
Probability distributions and matrix theorems
Computer programs for MCMC calculations