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	Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
	Wang, Shanshan; Xiang, Liming
刊名	STATISTICS AND COMPUTING
	2017
卷号	27页码:1347-1364
关键词	Penalized empirical likelihood Empirical likelihood ratio Oracle property Smoothly clipped absolute deviation Survival data Variable selection
ISSN号	0960-3174
DOI	10.1007/s11222-016-9690-x
URL标识	查看原文
收录类别	SCIE
WOS记录号	WOS:000400831700013
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5939868
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Wang, Shanshan,Xiang, Liming. Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates[J]. STATISTICS AND COMPUTING,2017,27:1347-1364.
APA	Wang, Shanshan,&Xiang, Liming.(2017).Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates.STATISTICS AND COMPUTING,27,1347-1364.
MLA	Wang, Shanshan,et al."Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates".STATISTICS AND COMPUTING 27(2017):1347-1364.

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