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most citedRegularization Methods Based on the -Likelihood for Linear Models with Heavy-Tailed Errors

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stat.ML2019

Least Angle Regression in Tangent Space and LASSO for Generalized Linear Models

Yoshihiro Hirose

This study proposes sparse estimation methods for the generalized linear models, which run one of least angle regression (LARS) and least absolute shrinkage and selection operator…