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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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| Publicado no: | J Comput Graph Stat |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | 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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