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Bootstrapping functional data: A study of distributional property of sample eigenvalues

Shang, Hanlin


Modern computer technology has facilitated the presence of high-dimensional data, whose graphical representations are curves, images or shapes. Because of the high-dimensionality, a dimension reduction such as functional principal component analysis or singular value decomposition is often employed. By using functional principal component analysis, a set of observed high-dimensional data can be decomposed into functional principal components and their uncorrelated principal component scores,...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Proceedings of MODSIM 2011 International Congress on Modelling and Simulation
Access Rights: Open Access


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