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Covariate adjusted functional principal components analysis for longitudinal data
Functional data analysis functional principal componentsanalysis local linear regression longitudinal data analysis smoothing sparse data
2010/3/11
Classical multivariate principal component analysis has been extended
to functional data and termed functional principal component
analysis (FPCA). Most existing FPCA approaches do not accommodate
...
Principal components analysis (PCA) is a classical method for the reduction of dimensionality of data in the form of n observations (or cases) of a vector with p variables. Contemporary data sets ofte...
Common functional principal components
Functional principal components nonparametric regression bootstrap two sample problem
2010/3/17
Functional principal component analysis (FPCA) based on the
Karhunen–Lo`eve decomposition has been successfully applied in many
applications, mainly for one sample problems. In this paper we conside...