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High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

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 in practice, remains incompletely underst...

詳細記述

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書誌詳細
出版年:Stat Comput
主要な著者: Wang, Fan, Mukherjee, Sach, Richardson, Sylvia, Hill, Steven M.
フォーマット: Artigo
言語:Inglês
出版事項: Springer US 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7026376/
https://ncbi.nlm.nih.gov/pubmed/32132772
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-019-09914-9
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