Functional Data Analysis: An Introduction and Recent Developments

ABSTRACT Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains. The goals of FDA, such as descriptive analyses, classification, and regression, are generally the same as for statistical analyses of scalar‐...

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Veröffentlicht in:	Biometrical journal Jg. 66; H. 7; S. e202300363 - n/a
Hauptverfasser:	Gertheiss, Jan, Rügamer, David, Liew, Bernard X. W., Greven, Sonja
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany Wiley - VCH Verlag GmbH & Co. KGaA 01.10.2024
Schlagworte:	Biometry - methods Biophysics Classification Clustering curve data Data Analysis Dimensional analysis functional regression Functionals Human motion Humans image data longitudinal data analysis Machine Learning Motor task performance Multivariate analysis object‐oriented data analysis Outliers (statistics) Phase variations Principal Component Analysis Principal components analysis Software Statistical analysis Statistical inference longitudinal data analysis functional regression curve data object‐oriented data analysis image data
ISSN:	0323-3847, 1521-4036, 1521-4036
Online-Zugang:	Volltext
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