Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression

Medical research increasingly includes high‐dimensional regression modeling with a need for error‐in‐variables methods. The Convex Conditioned Lasso (CoCoLasso) utilizes a reformulated Lasso objective function and an error‐corrected cross‐validation to enable error‐in‐variables regression, but requi...

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Detalles Bibliográficos
Autores principales: Escribe, Célia, Lu, Tianyuan, Keller‐Baruch, Julyan, Forgetta, Vincenzo, Xiao, Bowei, Richards, J. Brent, Bhatnagar, Sahir, Oualkacha, Karim, Greenwood, Celia M. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292988/
https://www.ncbi.nlm.nih.gov/pubmed/34468045
http://dx.doi.org/10.1002/gepi.22430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292988/
https://www.ncbi.nlm.nih.gov/pubmed/34468045
http://dx.doi.org/10.1002/gepi.22430

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