Selecting the Number of Principal Components in Functional Data

DOI10.1080/01621459.2013.788980zbMath1288.62102OpenAlexW1998528700WikidataQ30724712 ScholiaQ30724712MaRDI QIDQ5406357

Yehua Li, Naisyin Wang, Raymond J. Carroll

Publication date: 1 April 2014

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3872138

zbMATH Keywords

model selectionkernel smoothingAkaike information criterionBayesian information criterionfunctional data analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bayesian inference (62F15) Medical applications (general) (92C50)

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