Functional Principal Component Analysis for Multiple Variables on Different Riemannian Manifolds
Author:
Funder
H2020 European Research Council
Fundação para a Ciência e a Tecnologia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13253-024-00637-7.pdf
Reference28 articles.
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2. Berrendero JR, Justel A, Svarc M (2011) Principal components for multivariate functional data. Comput Stat Data Anal 55:2619–2634
3. Bhattacharya R, Patrangenaru V (2003) Large sample theory of intrinsic and extrinsic sample means on manifolds. Ann Stat 31:1–29
4. Chavel I (2006) Riemannian geometry: a modern introduction, 2nd edn. University Press, Cambridge
5. Chiou JM, Chen YT, Yang YF (2014) Multivariate functional principal component analysis: a normalization approach. Stat Sin 24:1571–1597
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