Comments on: l1-penalization for mixture regression models

被引：23
|
作者：
Antoniadis, Anestis [1 ]
机构：
[1] Univ Grenoble 1, Dept Stat, Lab Jean Kuntzmann, F-38041 Grenoble, France
来源：
TEST | 2010年 / 19卷 / 02期
基金：
美国国家科学基金会;
关键词：
Adaptive Lasso; Estimate Error Variance; Oracle Property; Local Linear Approximation; Mixture Regression Model;
D O I：
10.1007/s11749-010-0198-y
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
[No abstract available]
引用
收藏
页码：257 / 258
页数：2
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