Browsing Department of Pure Mathematics and Mathematical Statistics (DPMMS) by Subject "Principal Component Analysis"
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SMOOTH PRINCIPAL COMPONENT ANALYSIS OVER TWODIMENSIONAL MANIFOLDS WITH AN APPLICATION TO NEUROIMAGING
(Institute of Mathematical StatisticsThe Annals of Applied Statistics, 20160105)Motivated by the analysis of highdimensional neuroimaging signals located over the cortical surface, we introduce a novel Principal Component Analysis technique that can handle functional data located over a twodimensional ...