High-dimensional grouped folded concave penalized estimation via the LLA algorithm | |
Guo, Xiao; Wang, Yao; Zhang, Hai | |
刊名 | Journal of the Korean Statistical Society |
2019 | |
卷号 | 48页码:84-96 |
关键词 | Folded concave penalty Grouped variable selection High-dimensional linear models Local linear approximation Oracle estimator |
ISSN号 | 1226-3192 |
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/2826603 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Guo, Xiao,Wang, Yao,Zhang, Hai. High-dimensional grouped folded concave penalized estimation via the LLA algorithm[J]. Journal of the Korean Statistical Society,2019,48:84-96. |
APA | Guo, Xiao,Wang, Yao,&Zhang, Hai.(2019).High-dimensional grouped folded concave penalized estimation via the LLA algorithm.Journal of the Korean Statistical Society,48,84-96. |
MLA | Guo, Xiao,et al."High-dimensional grouped folded concave penalized estimation via the LLA algorithm".Journal of the Korean Statistical Society 48(2019):84-96. |
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