Rejoinder: Boosting algorithms: regularization, prediction and model fitting

DOI10.1214/07-STS242REJzbMath1246.62164arXiv0804.2777OpenAlexW3100386508MaRDI QIDQ449785

Torsten Hothorn, Peter Bühlmann

Publication date: 1 September 2012

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0804.2777

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)

Related Items

An update on statistical boosting in biomedicine, Subject-specific Bradley–Terry–Luce models with implicit variable selection, Detection of differential item functioning in Rasch models by boosting techniques

Uses Software

• Bioconductor
• mboost
• boost

Cites Work

• Greedy function approximation: A gradient boosting machine.
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Least angle regression. (With discussion)
• Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
• Random forests
• Stochastic gradient boosting.