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Multilevel Functional Principal Component Analysis for High-Dimensional Data
We propose fast and scalable statistical methods for the analysis of hundreds or thousands of high dimensional vectors observed at multiple visits. The proposed inferential methods do not require loading the entire data set at once in the computer memory and instead use only sequential access to dat...
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| 出版年: | J Comput Graph Stat |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4425352/ https://ncbi.nlm.nih.gov/pubmed/25960627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jcgs.2011.10122 |
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