A Generalized Estimating Equation Approach to Multivariate Adaptive Regression Splines

DOI10.1080/10618600.2017.1360780OpenAlexW2743639207WikidataQ60466750 ScholiaQ60466750MaRDI QIDQ3391148

David I. Warton, Jakub Stoklosa

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2017.1360780

zbMATH Keywords

model selectionGLMGEEMARSnonparametric smoothingnegative binomial regression

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

GEE-Assisted Forward Regression for Spatial Latent Variable Models ⋮ GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data

Uses Software

• R
• SemiPar
• BayesTree
• earth
• mvabund
• Glmulti
• gamair
• STEPCEE

Cites Work

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• Multivariate adaptive regression splines
• Polynomial splines and their tensor products in extended linear modeling. (With discussions)
• Parallel MARS algorithm based on B-splines
• Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
• Flexible Parsimonious Smoothing and Additive Modeling
• Semiparametric Regression
• Fast forward selection for generalized estimating equations with a large number of predictor variables

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