Adaptive elastic net and Separate Selection from Least Squares for ultra-high dimensional regression

来源 :中国现场统计研究会 | 被引量 : 0次 | 上传用户:yyk20071999
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  This paper studies the asymptotic properties of the adaptive elastic net in ultra-high dimensional sparse linear regression models and proposes a new method called SSLS(Separate Selection from Least Squares)to improve prediction accuracy.
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