# Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions

@article{Boisbunon2014AkaikesIC, title={Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions}, author={Aur{\'e}lie Boisbunon and St{\'e}phane Canu and Dominique Fourdrinier and William E. Strawderman and Martin T. Wells}, journal={International Statistical Review}, year={2014}, volume={82}, pages={422 - 439} }

In this article, we develop a modern perspective on Akaike's information criterion and Mallows's Cp for model selection, and propose generalisations to spherically and elliptically symmetric distributions. Despite the differences in their respective motivation, Cp and Akaike's information criterion are equivalent in the special case of Gaussian linear regression. In this case, they are also equivalent to a third criterion, an unbiased estimator of the quadratic prediction loss, derived from…

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