Double penalized variable selection for high-dimensional partial linear mixed effects models

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
Nearly unbiased variable selection under minimax concave penalty
Random-Effects Models for Longitudinal Data
The Adaptive Lasso and Its Oracle Properties
Model selection in linear mixed effect models
A coordinate gradient descent method for nonsmooth separable minimization
Robust estimation in partial linear mixed model for longitudinal data
Heuristics of instability and stabilization in model selection
Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data
Variance component testing in semiparametric mixed models
Variable selection in linear mixed effects models
Regularized estimation of large covariance matrices
Selecting mixed-effects models based on a generalized information criterion
Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization
Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
An Orthogonality-Based Estimation of Moments for Linear Mixed Models
Robustified Maximum Likelihood Estimation in Generalized Partial Linear Mixed Model for Longitudinal Data
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
Optimal designs for the prediction of mixed effects in linear mixed models
Regularization and Variable Selection Via the Elastic Net
Bayesian estimation and influence diagnostics of generalized partially linear mixed-effects models for longitudinal data
Robust variable selection in semiparametric mixed effects longitudinal data models
High-dimensional linear mixed model selection by partial correlation
Efficient robust estimation for single-index mixed effects models with missing observations

This page was built for publication: Double penalized variable selection for high-dimensional partial linear mixed effects models