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Bayesian Model Comparison - Jeliazkov, Ivan (Editor), and Poirier, Dale J (Editor)
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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 ...

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Bayesian Model Comparison 2014, Emerald Group Publishing, Bingley

ISBN-13: 9781784411855

Hardcover