Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models

(2010) Howard D. Bondell et al.   BIOMETRICS

Fixed and Random Effects Selection in Mixed Effects Models

(2010) Joseph G. Ibrahim et al.   BIOMETRICS

p-Values for High-Dimensional Regression

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The group lasso for logistic regression

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

Stability selection

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

ℓ1-penalization for mixture regression models

(2010) Nicolas Städler et al.   TEST

High-dimensional variable selection

(2009) Larry Wasserman et al.   ANNALS OF STATISTICS

Simultaneous analysis of Lasso and Dantzig selector

(2009) Peter J. Bickel et al.   ANNALS OF STATISTICS

Lasso-type recovery of sparse representations for high-dimensional data

(2009) Nicolai Meinshausen et al.   ANNALS OF STATISTICS

Variable Selection for Semiparametric Mixed Models in Longitudinal Studies

(2009) Xiao Ni et al.   BIOMETRICS

On the conditions used to prove oracle results for the Lasso

(2009) Sara A. van de Geer et al.   Electronic Journal of Statistics

Coordinate descent algorithms for lasso penalized regression

(2008) Tong Tong Wu et al.   Annals of Applied Statistics

High-dimensional generalized linear models and the lasso

(2008) Sara A. van de Geer   ANNALS OF STATISTICS

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

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