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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...

詳細記述

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書誌詳細
出版年:J Comput Graph Stat
主要な著者: Zipunnikov, Vadim, Caffo, Brian, Yousem, David M., Davatzikos, Christos, Schwartz, Brian S., Crainiceanu, Ciprian
フォーマット: Artigo
言語:Inglês
出版事項: 2011
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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