Cargando…
Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration
This paper presents a Bayesian analysis of linear mixed models for quantile regression based on a Cholesky decomposition for the covariance matrix of random effects. We develop a Bayesian shrinkage approach to quantile mixed regression models using a Bayesian adaptive lasso and an extended Bayesian...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588124/ https://www.ncbi.nlm.nih.gov/pubmed/33104698 http://dx.doi.org/10.1371/journal.pone.0241197 |