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Fast, Exact Bootstrap Principal Component Analysis for p > 1 million
Many have suggested a bootstrap procedure for estimating the sampling variability of principal component analysis (PCA) results. However, when the number of measurements per subject (p) is much larger than the number of subjects (n), calculating and storing the leading principal components from each...
Gardado en:
| Publicado en: | J Am Stat Assoc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5014451/ https://ncbi.nlm.nih.gov/pubmed/27616801 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1062383 |
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