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Selecting the Number of Principal Components in Functional Data

✍ Scribed by Li, Yehua; Wang, Naisyin; Carroll, Raymond J.

Book ID
120258096
Publisher
American Statistical Association
Year
2013
Tongue
English
Weight
256 KB
Volume
108
Category
Article
ISSN
0162-1459

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## Abstract We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan i