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Emerald Group Publishing

Bayesian Model Comparison

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Product Code: 9781784411855
ISBN13: 9781784411855
Condition: New
$231.70

Bayesian Model Comparison

$231.70
 
The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.


Author: Ivan Jeliazkov
Publisher: Emerald Group Publishing
Publication Date: Nov 21, 2014
Number of Pages: 390 pages
Binding: Hardback or Cased Book
ISBN-10: 178441185X
ISBN-13: 9781784411855
 

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