A method for determining groups in nonparametric regression curves: Application to prefrontal cortex neural activity analysis

Generalized additive models provide a flexible and easily-interpretable method for uncovering a nonlinear relationship between response and covariates. In many situations, the effect of a continuous covariate on the response varies across groups defined by the levels of a categorical variable. When...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Javier Roca-Pardiñas, Celestino Ordóñez, Luís Meira Machado
Format: Artigo
Langue:Inglês
Publié: AIMS Press 2022-04-01
Collection:Mathematical Biosciences and Engineering
Sujets:
clustering of regression curves
factor-by-curve interaction
generalized additive model
multiple regression curves
nonlinear regression
number of groups
Accès en ligne:https://www.aimspress.com/article/doi/10.3934/mbe.2022302?viewType=HTML
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