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On constrained and regularized high-dimensional regression

High-dimensional feature selection has become increasingly crucial for seeking parsimonious models in estimation. For selection consistency, we derive one necessary and sufficient condition formulated on the notion of degree-of-separation. The minimal degree of separation is necessary for any method...

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Bibliografiska uppgifter
Huvudupphovsmän: Shen, Xiaotong, Pan, Wei, Zhu, Yunzhang, Zhou, Hui
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2013
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3898843/
https://ncbi.nlm.nih.gov/pubmed/24465052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10463-012-0396-3
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