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Some asymptotics for localized principal components and curves

Einbeck, Jochen; Zayed, Mohammad

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Authors

Mohammad Zayed



Abstract

The asymptotic behavior of localized principal components applying kernels as weights is investigated. In particular, we show that the first-order approximation of the first localized principal component at any given point only depends on the bandwidth parameter(s) and the density at that point. This result is extended to the context of local principal curves, where the characteristics of the points at which the curve stops at the edges are identified. This is used to provide a method which allows the curve to proceed beyond its natural endpoint if desired.

Citation

Einbeck, J., & Zayed, M. (2014). Some asymptotics for localized principal components and curves. Communications in Statistics - Theory and Methods, 43(8), 1736-1749. https://doi.org/10.1080/03610926.2012.673676

Journal Article Type Article
Acceptance Date Mar 5, 2012
Online Publication Date Aug 12, 2013
Publication Date Apr 9, 2014
Deposit Date Sep 13, 2013
Publicly Available Date Apr 16, 2014
Journal Communications in Statistics - Theory and Methods
Print ISSN 0361-0926
Electronic ISSN 1532-415X
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 43
Issue 8
Pages 1736-1749
DOI https://doi.org/10.1080/03610926.2012.673676
Keywords Kernels, Mean shift, PCA, Local principal curves.

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Copyright Statement
This is an Author's Accepted Manuscript of an article published in Einbeck, Jochen and Zayed, Mohammad (2014) 'Some asymptotics for localized principal components and curves.', Communications in statistics - theory and methods., 43 (8). pp. 1736-1749. © Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/03610926.2012.673676.





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