The Akaike information criterion (AIC) is an estimator of prediction error and thereby relative quality of statistical models for a given set of data....

applicable information criterion (WAIC), also known as Watanabe–Akaike information criterion, is the generalized version of the Akaike information criterion (AIC)...

on the likelihood function and it is closely related to the Akaike information criterion (AIC). When fitting models, it is possible to increase the maximum...

Japanese statistician. In the early 1970s, he formulated the Akaike information criterion (AIC). AIC is now widely used for model selection, which is commonly...

The deviance information criterion (DIC) is a hierarchical modeling generalization of the Akaike information criterion (AIC). It is particularly useful...

information criterion (HQC) is a criterion for model selection. It is an alternative to Akaike information criterion (AIC) and Bayesian information criterion...

strategies, like the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the deviance information criterion (DIC), the FIC does...

Akaike (赤池) is a Japanese surname and location name. Akaike may also refer to: Akaike information criterion statistical formula Hirotsugu Akaike (赤池 弘次...

relatively precise. Mallows's Cp has been shown to be equivalent to Akaike information criterion in the special case of Gaussian linear regression. Mallows's...

commonly used information criteria are (i) the Akaike information criterion and (ii) the Bayes factor and/or the Bayesian information criterion (which to...