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Bayesian Model Comparison (Advances in Econometrics)
Ivan Jeliazkov (Ed.)
€ 165.87
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Description for Bayesian Model Comparison (Advances in Econometrics)
Hardcover. This volume of Advances in Econometrics 34 focusses on Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research. Editor(s): Jeliazkov, Ivan; Poirier, Dale J. Series: Advances in Econometrics. Num Pages: 390 pages. BIC Classification: KCH; PBTB. Category: (P) Professional & Vocational. Dimension: 237 x 154 x 32. Weight in Grams: 674.
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, ... Read more
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, ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Emerald Group Publishing Limited
Condition
New
Series
Advances in Econometrics
Number of Pages
390
Place of Publication
Bingley, United Kingdom
ISBN
9781784411855
SKU
V9781784411855
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
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