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A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection

We describe a simple, computationally effcient, permutation-based procedure for selecting the penalty parameter in LASSO penalized regression. The procedure, permutation selection, is intended for applications where variable selection is the primary focus, and can be applied in a variety of structur...

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Bibliografski detalji
Izdano u:Biometrics
Glavni autori: Sabourin, Jeremy A, Valdar, William, Nobel, Andrew B
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4715654/
https://ncbi.nlm.nih.gov/pubmed/26243050
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12359
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