Nonnegative decomposition of functional count data

We present a novel decomposition of nonnegative functional count data that draws on concepts from nonnegative matrix factorization. Our decomposition, which we refer to as NARFD (nonnegative and regularized function decomposition), enables the study of patterns in variation across subjects in a high...

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Veröffentlicht in:	Biometrics Jg. 76; H. 4; S. 1273 - 1284
Hauptverfasser:	Backenroth, Daniel, Shinohara, Russell T., Schrack, Jennifer A., Goldsmith, Jeff
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Blackwell Publishing Ltd 01.12.2020
Schlagworte:	Accelerometers Algorithms data collection Decomposition functional data Functionals Multiplication nonnegative matrix factorization Physical activity principal component analysis Principal components analysis accelerometers nonnegative matrix factorization functional data
ISSN:	0006-341X, 1541-0420, 1541-0420
Online-Zugang:	Volltext
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