High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
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Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well developed, the relative efficacy of different approaches in finite-sample settings, as encountered i... ...
