Sparse sliced inverse regression for high dimensional data analysis

BACKGROUND: Dimension reduction and variable selection play a critical role in the analysis of contemporary high-dimensional data. The semi-parametric multi-index model often serves as a reasonable model for analysis of such high-dimensional data. The sliced inverse regression (SIR) method, which ca...

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Detalles Bibliográficos
Autores principales: Hilafu, Haileab, Safo, Sandra E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080177/
https://www.ncbi.nlm.nih.gov/pubmed/35525975
http://dx.doi.org/10.1186/s12859-022-04700-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080177/
https://www.ncbi.nlm.nih.gov/pubmed/35525975
http://dx.doi.org/10.1186/s12859-022-04700-3

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