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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| 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 |