Evaluating Pairwise Variable Selection Methods
Published in European Journal of Statistics • May 4, 2022
NobleIDNI5P76W14R46S07
Authors:
Erhard Reschenhofer
Abstract
This paper discusses novel methods for the pairwise selection of explanatory variables from a large set of candidate pairs. These methods are applied to monthly time series of surface temperature and their performance is compared with that of conventional selection criteria such as AIC and BIC. In o...
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