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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Vydané v:	Biometrics Ročník 76; číslo 4; s. 1273 - 1284
Hlavní autori:	Backenroth, Daniel, Shinohara, Russell T., Schrack, Jennifer A., Goldsmith, Jeff
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Blackwell Publishing Ltd 01.12.2020
Predmet:	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
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