Tree-structured modelling of categorical predictors in generalized additive regression

DOI10.1007/s11634-017-0298-6zbMath1416.62364arXiv1504.04700OpenAlexW2766550469WikidataQ114688718 ScholiaQ114688718MaRDI QIDQ137407

Gerhard Tutz, Gerhard Tutz, Moritz Berger, Moritz Berger

Publication date: 26 October 2017

Published in: Advances in Data Analysis and Classification, Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1504.04700

zbMATH Keywords

recursive partitioningcategorical predictorspartially linear tree-based regressiontree-structured clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Related Items (4)

Handling categorical features with many levels using a product partition model ⋮ Bayesian effect fusion for categorical predictors ⋮ Tree-structured scale effects in binary and ordinal regression ⋮ structree

Uses Software

• R
• BayesX
• gamair
• gvcm.cat
• CasANOVA
• structree

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