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Variable Selection via Partial Correlation
Partial correlation based variable selection method was proposed for normal linear regression models by Bühlmann, Kalisch and Maathuis (2010) as a comparable alternative method to regularization methods for variable selection. This paper addresses two important issues related to partial correlation...
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| Publicado no: | Stat Sin |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5484095/ https://ncbi.nlm.nih.gov/pubmed/28663685 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202015.0473 |
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