Selecting mixed-effects models based on a generalized information criterion

From MaRDI portal
Publication:2489780

DOI10.1016/j.jmva.2005.05.009zbMath1085.62083OpenAlexW2055963867MaRDI QIDQ2489780

Wenji Pu, Xu-Feng Niu

Publication date: 28 April 2006

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2005.05.009




Related Items (26)

Conditional Akaike information criterion in the Fay-Herriot modelPredictive Cross-validation for the Choice of Linear Mixed-Effects Models with Application to Data from the Swiss HIV Cohort StudySimultaneous variable selection for joint models of longitudinal and survival outcomesInformation methods for model selection in linear mixed effects models with application to HCV dataAdaptive LASSO for linear mixed model selection via profile log-likelihoodNew variable selection for linear mixed-effects modelsA penalized approach to mixed model selection via cross-validationA graphical model selection tool for mixed modelsDouble penalized quantile regression for the linear mixed effects modelSimultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoringSelection of linear mixed‐effects models for clustered dataVariable selection in linear mixed effects modelsModel selection in linear mixed effect modelsFixed and random effects selection in nonparametric additive mixed modelsA penalized h-likelihood variable selection algorithm for generalized linear regression models with random effectsSelection of terms in random coefficient regression modelsBias‐reduced marginal Akaike information criteria based on a Monte Carlo method for linear mixed‐effects modelsAsymptotic theory of generalized information criterion for geostatistical regression model selectionModel selection in linear mixed-effect modelsRegularized finite mixture models for probability trajectoriesA simultaneous variable selection methodology for linear mixed modelsJoint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects ModelsNon-concave penalization in linear mixed-effect models and regularized selection of fixed effectsInference of random effects for linear mixed-effects models with a fixed number of clustersSimultaneous fixed and random effects selection in finite mixture of linear mixed-effects modelsModel selection in linear mixed models



Cites Work


This page was built for publication: Selecting mixed-effects models based on a generalized information criterion