Regression based principal component analysis for sparse functional data with applications to screening growth paths
نویسندگان
چکیده
منابع مشابه
Principal component models for sparse functional data
The elements of a multivariate data set are often curves rather than single points. Functional principal components can be used to describe the modes of variation of such curves. If one has complete measurements for each individual curve or, as is more common, one has measurements on a fine grid taken at the same time points for all curves, then many standard techniques may be applied. However,...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2015
ISSN: 1932-6157
DOI: 10.1214/15-aoas811