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Efficient test-based variable selection for high-dimensional linear models

Variable selection plays a fundamental role in high-dimensional data analysis. Various methods have been developed for variable selection in recent years. Well-known examples are forward stepwise regression (FSR) and least angle regression (LARS), among others. These methods typically add variables...

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Podrobná bibliografie
Vydáno v:J Multivar Anal
Hlavní autoři: Gong, Siliang, Zhang, Kai, Liu, Yufeng
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6317739/
https://ncbi.nlm.nih.gov/pubmed/30613114
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2018.01.003
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