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A novel AIC variant for linear regression models based on a bootstrap correction

Seghouane, Abd-Krim

Description

The Akaike information criterion, AIC, and its corrected version, AIC c are two methods for selecting normal linear regression models. Both criteria were designed as estimators of the expected Kullback-Leibler information between the model generating the

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/50143
Source: Proceedings of IEEE Workshop on Machine Learning for Signal Processing 2008
DOI: 10.1109/MLSP.2008.4685469

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