Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation

From MaRDI portal
Publication:892458

DOI10.1007/s11222-012-9359-zzbMath1325.62139OpenAlexW1997799412MaRDI QIDQ892458

Andreas Groll, Gerhard Tutz

Publication date: 19 November 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-012-9359-z



Related Items

Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models, Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm, Variable selection and prediction with incomplete high-dimensional data, A Lasso and a regression tree mixed-effect model with random effects for the level, the residual variance, and the autocorrelation, Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses, A graphical model selection tool for mixed models, Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models, Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models, Mixed-effect models with trees, Selection of fixed effects in high-dimensional generalized linear mixed models, A penalized likelihood method for structural equation modeling, High-dimensional linear mixed model selection by partial correlation, A new estimator to control collinearity problems in correlated binary response, A penalized h-likelihood variable selection algorithm for generalized linear regression models with random effects, Missing covariate data in generalized linear mixed models with distribution-free random effects, A note on the adaptive Lasso for zero-inflated Poisson regression, Fixed Effects Testing in High-Dimensional Linear Mixed Models, Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data, Variable selection in discrete survival models including heterogeneity, Forward-Backward Selection with Early Dropping, On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing, Non-penalty shrinkage estimation of random effect models for longitudinal data with AR(1) errors, Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence, Variable selection in joint modelling of the mean and variance for hierarchical data, Component-Based Regularization of Multivariate Generalized Linear Mixed Models, Sparse linear mixed model selection via streamlined variational Bayes, Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models


Uses Software


Cites Work