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Machine learning / Bayesian statistics / Regression analysis / Deviance information criterion / Maximum likelihood / Cross-validation / Fisher information / Akaike information criterion / Bayesian information criterion / Statistics / Estimation theory / Model selection
Date: 2013-08-14 15:26:41
Machine learning
Bayesian statistics
Regression analysis
Deviance information criterion
Maximum likelihood
Cross-validation
Fisher information
Akaike information criterion
Bayesian information criterion
Statistics
Estimation theory
Model selection

Understanding predictive information criteria for Bayesian models∗ Andrew Gelman†, Jessica Hwang‡, and Aki Vehtari§ 14 Aug 2013 Abstract We review the Akaike, deviance, and Watanabe-Akaike information criteria fro

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