Remembrance of Leo Breiman

DOI10.1214/10-AOAS381zbMath1294.01036arXiv1101.0923MaRDI QIDQ542915

No author found.

Publication date: 20 June 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1101.0923

zbMATH Keywords

random forestsbaggingboostingclassification and regression trees

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric statistical resampling methods (62G09) Biographies, obituaries, personalia, bibliographies (01A70) Pattern recognition, speech recognition (68T10) History of statistics (62-03)

Uses Software

• GeneSrF

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Greedy function approximation: A gradient boosting machine.
• Bagging predictors
• Heuristics of instability and stabilization in model selection
• Arcing classifiers. (With discussion)
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Analyzing bagging
• Variable length Markov chains
• Tree-structured Generalized Autoregressive Conditional Heteroscedastic Models
• Boosting With theL₂Loss
• Random Forests and Adaptive Nearest Neighbors
• Random forests

This page was built for publication: Remembrance of Leo Breiman