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	SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models
	Wang, Mingqiu; Song, Lixin; Tian, Guo-Liang
刊名	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
	2015
卷号	44页码:2452-2472
关键词	Empirical process LAD-SCAD estimator Oracle property Rank correlation screening Stochastic equicontinuity Variable selection
ISSN号	0361-0926
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4405450
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Math Sci, Dalian 116023, Liaoning, Peoples R China. 2.Qufu Normal Univ, Sch Stat, Qufu, Peoples R China. 3.Dalian Univ Technol, Sch Math Sci, Dalian 116023, Liaoning, Peoples R China. 4.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Mingqiu,Song, Lixin,Tian, Guo-Liang. SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2015,44:2452-2472.
APA	Wang, Mingqiu,Song, Lixin,&Tian, Guo-Liang.(2015).SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,44,2452-2472.
MLA	Wang, Mingqiu,et al."SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 44(2015):2452-2472.

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