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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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Bibliographische Detailangaben
Veröffentlicht in:J Comput Graph Stat
Hauptverfasser: Zipunnikov, Vadim, Caffo, Brian, Yousem, David M., Davatzikos, Christos, Schwartz, Brian S., Crainiceanu, Ciprian
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2011
Schlagworte:
Online Zugang: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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