Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application

In a host of business applications, biomedical and epidemiological studies, the problem of multicollinearity among predictor variables is a frequent issue in longitudinal data analysis for linear mixed models (LMM). We consider an efficient estimation strategy for high-dimensional data application,...

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Detalles Bibliográficos
Autores principales: Opoku, Eugene A., Ahmed, Syed Ejaz, Nathoo, Farouk S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534815/
https://www.ncbi.nlm.nih.gov/pubmed/34682072
http://dx.doi.org/10.3390/e23101348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534815/
https://www.ncbi.nlm.nih.gov/pubmed/34682072
http://dx.doi.org/10.3390/e23101348

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