Comments on: ``A random forest guided tour

DOI10.1007/s11749-016-0483-5zbMath1402.62136OpenAlexW2339331498MaRDI QIDQ5972095

Florencia Leonardi

Publication date: 6 July 2016

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-016-0483-5

zbMATH Keywords

ensemble methodsrandom forestclassification and regression treesheterogeneous datamaggingmaximin aggregation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• missForest

Cites Work

• Unnamed Item
• Bagging predictors
• On the asymptotics of random forests
• Statistics for high-dimensional data. Methods, theory and applications.
• \(\ell_{1}\)-penalization for mixture regression models
• Stable graphical model estimation with random forests for discrete, continuous, and mixed variables
• Analyzing bagging
• Unified methods for censored longitudinal data and causality
• Maximin effects in inhomogeneous large-scale data
• Survival ensembles
• Random-projection Ensemble Classification
• Random forests

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