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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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | 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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