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Dynamic Bayesian sensitivity analysis of a myocardial metabolic model

✍ Scribed by D. Calvetti; R. Hageman; R. Occhipinti; E. Somersalo

Book ID
116732999
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
413 KB
Volume
212
Category
Article
ISSN
0025-5564

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## ABSTRACT In this study we evaluate the forecast performance of model‐averaged forecasts based on the predictive likelihood carrying out a prior sensitivity analysis regarding Zellner's __g__ prior. The main results are fourfold. First, the predictive likelihood does always better than the tradit