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VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS

This paper is concerned with the selection and estimation of fixed and random effects in linear mixed effects models. We propose a class of nonconcave penalized profile likelihood methods for selecting and estimating important fixed effects. To overcome the difficulty of unknown covariance matrix of...

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Autors principals: Fan, Yingying, Li, Runze
Format: Artigo
Idioma:Inglês
Publicat: 2012
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4026175/
https://ncbi.nlm.nih.gov/pubmed/24850975
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/12-AOS1028
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