Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction

BACKGROUND: Statistical boosting is a computational approach to select and estimate interpretable prediction models for high-dimensional biomedical data, leading to implicit regularization and variable selection when combined with early stopping. Traditionally, the set of base-learners is fixed for...

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Detalles Bibliográficos
Autores principales: Staerk, Christian, Mayr, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447543/
https://www.ncbi.nlm.nih.gov/pubmed/34530737
http://dx.doi.org/10.1186/s12859-021-04340-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447543/
https://www.ncbi.nlm.nih.gov/pubmed/34530737
http://dx.doi.org/10.1186/s12859-021-04340-z

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