Semiparametric shape-invariant models for periodic data

DOI10.1080/02664760802562472OpenAlexW2062884174WikidataQ58194133 ScholiaQ58194133MaRDI QIDQ5123400

Holger Hürtgen, Daniel Gervini

Publication date: 28 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760802562472

zbMATH Keywords

circadian rhythmsnonparametric regressionspline smoothing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Functional data analysis.
• A Flexible Model for Human Circadian Rhythms
• Self Modeling Nonlinear Regression
• The elements of statistical learning. Data mining, inference, and prediction

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