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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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| 發表在: | Biostatistics |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2017
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| 主題: | |
| 在線閱讀: | 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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