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PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data
Outlier detection for high-dimensional (HD) data is a popular topic in modern statistical research. However, one source of HD data that has received relatively little attention is functional magnetic resonance images (fMRI), which consists of hundreds of thousands of measurements sampled at hundreds...
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| Publicado no: | Biostatistics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5862350/ https://ncbi.nlm.nih.gov/pubmed/28334131 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxw050 |
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