Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR

DOI10.1007/978-3-319-40643-5_11zbMath1366.62150OpenAlexW2531314067MaRDI QIDQ5278373

C. Trottier, Guillaume Cornu, Xavier Bry, Thomas Verron, Frédéric Mortier

Publication date: 19 July 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40643-5_11

zbMATH Keywords

regularizationgeneralized linear model (GLM)component-based regularization

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

Clusterwise elastic-net regression based on a combined information criterion ⋮ Component-based regularization of a multivariate GLM with a thematic partitioning of the explanatory variables ⋮ Component-Based Regularization of Multivariate Generalized Linear Mixed Models

Uses Software

• SCGLR

Cites Work

• Supervised component generalized linear regression using a PLS-extension of the Fisher scoring algorithm
• Iteratively Reweighted Partial Least Squares Estimation for Generalized Linear Regression

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