A uniform framework for the combination of penalties in generalized structured models

标题
A uniform framework for the combination of penalties in generalized structured models
作者
关键词
Model selection, Penalties, Generalized linear model (GLM), Structured regression, Ridge, Lasso, Group Lasso, SCAD, Elastic net, Fused Lasso, 62J07, 62J12
出版物
Advances in Data Analysis and Classification
Volume 11, Issue 1, Pages 97-120
出版商
Springer Nature
发表日期
2015-04-28
DOI
10.1007/s11634-015-0205-y

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