GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using ℓ1-Penalization

Regularization Paths for Generalized Linear Models via Coordinate Descent

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

Fixed and random effects selection in nonparametric additive mixed models

(2012) Randy C. S. Lai et al.   Electronic Journal of Statistics

Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection

(2011) Patrick Breheny et al.   Annals of Applied Statistics

Penalized classification using Fisher's linear discriminant

(2011) Daniela M. Witten et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

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

(2011) JÜRG SCHELLDORFER et al.   SCANDINAVIAN JOURNAL OF STATISTICS

The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)

(2011) Sara van de Geer et al.   Electronic Journal of Statistics

Fixed and Random Effects Selection in Mixed Effects Models

(2010) Joseph G. Ibrahim et al.   BIOMETRICS

A Framework for Feature Selection in Clustering

(2010) Daniela M. Witten 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

ℓ1-penalization for mixture regression models

(2010) Nicolas Städler et al.   TEST

Variable Selection for Semiparametric Mixed Models in Longitudinal Studies

(2009) Xiao Ni et al.   BIOMETRICS

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

Accuracy of Laplace approximation for discrete response mixed models

(2008) Harry Joe   COMPUTATIONAL STATISTICS & DATA ANALYSIS