A unified framework of constrained regression

DOI10.1007/s11222-014-9520-yzbMath1342.62115arXiv1403.7118OpenAlexW2087616760MaRDI QIDQ2631341

Benjamin Hofner, Torsten Hothorn, Thomas Kneib

Publication date: 29 July 2016

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1403.7118

zbMATH Keywords

generalized additive modelsfunctional gradient descent boostingbivariate constraintscyclic constraintsmonotonic constraintsperiodic effects

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Parametric inference under constraints (62F30) General nonlinear regression (62J02) Nonparametric statistical resampling methods (62G09)

Related Items

An update on statistical boosting in biomedicine, Boosting Distributional Copula Regression, Functional Additive Models on Manifolds of Planar Shapes and Forms, Boosting for statistical modelling-A non-technical introduction, Additive monotone regression in high and lower dimensions, Isotonic boosting classification rules, mboost

Uses Software

• R
• mgcv
• GAMLSS
• gamair
• ConfBands
• scam
• gamboostLSS
• isotone

Cites Work

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