Adaptive group Lasso for high-dimensional generalized linear models

On the oracle property of adaptive group Lasso in high-dimensional linear models

(2015) Caiya Zhang et al.   STATISTICAL PAPERS

Convergence and sparsity of Lasso and group Lasso in high-dimensional generalized linear models

(2014) Lichun Wang et al.   STATISTICAL PAPERS

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

(2013) Patrick Breheny et al.   STATISTICS AND COMPUTING

A Selective Review of Group Selection in High-Dimensional Models

(2012) Jian Huang et al.   STATISTICAL SCIENCE

Nonconcave Penalized Likelihood With NP-Dimensionality

(2011) Jianqing Fan et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Consistent group selection in high-dimensional linear regression

(2010) Fengrong Wei et al.   BERNOULLI

The group lasso for logistic regression

(2010) Lukas Meier et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The composite absolute penalties family for grouped and hierarchical variable selection

(2009) Peng Zhao et al.   ANNALS OF STATISTICS

A group bridge approach for variable selection

(2009) J. Huang et al.   BIOMETRIKA

The sparsity and bias of the Lasso selection in high-dimensional linear regression

(2008) Cun-Hui Zhang et al.   ANNALS OF STATISTICS

A note on adaptive group lasso

(2008) Hansheng Wang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS