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A random forest is a popular tool for estimating probabilities in machine learning classification tasks.
On estimation of a probability density function and mode
Emanuel Parzen · 1962
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Some infinity theory for predictor ensembles
Leo Breiman · 2000
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Random forests
Leo Breiman · 2001
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Consistency for a simple model of random forests
Leo Breiman · 2004
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Predicting good probabilities with supervised learning
Alexandru Niculescu-Mizil and Rich Caruana · 2005
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Gene selection and classification of microarray data using random forest
Ramón Díaz-Uriarte and Sara Alvarez De Andres · 2006
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Random forests and adaptive nearest neighbors
Yi Lin and Yongho Jeon · 2006
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Estimating class probabilities in random forests
Henrik Bostrom · 2007
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Cost-weighted boosting with jittering and over/under-sampling: Jous-boost
David Mease, A Wyner, and Andreas Buja · 2007
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Statistical learning from a regression perspective
Richard A Berk · 2008
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Improving propensity score weighting using machine learning
Brian K Lee, Justin Lessler, and Elizabeth A Stuart · 2010
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Modeling species distribution and change using random forest
Jeffrey S Evans, Melanie A Murphy, Zachary A Holden, and Samuel A Cushman · 2011
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Analysis of a random forests model
Gerard Biau · 2012
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Probability machines: consistent probability estimation using nonparametric learning machines
James D Malley, Jochen Kruppa, Abhijit Dasgupta, Karen G Malley, and Andreas Ziegler · 2012
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A random forest based risk model for reliable and accurate prediction of receipt of transfusion in patients undergoing percutaneous coronary intervention
Hitinder S Gurm, Judith Kooiman, Thomas LaLonde, Cindy Grines, David Share, and Milan Seth · 2014
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Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory
Jochen Kruppa, Yufeng Liu, Gerard Biau, Michael Kohler, Inke R König, James D Malley, and Andreas Ziegler · 2014
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Using random forests to estimate win probability before each play of an nfl game
Dennis Lock and Dan Nettleton · 2014
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Nonelective rehospitalizations and postdischarge mortality: predictive models suitable for use in real time
Gabriel J Escobar, Arona Ragins, Peter Scheirer, Vincent Liu, Jay Robles, and Patricia Kipnis · 2015
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Consistency of random forests
Erwan Scornet, Gerard Biau, Jean-Philippe Vert, et al · 2015
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Probability estimation in random forests
Chunyang Li and Adele Cutler · 2013
Cited alongside, same era.
Random forests and kernel methods
Erwan Scornet
Cited in the paper.
On the asymptotics of random forests
Erwan Scornet
Cited in the paper.
A random forest guided tour
Gerard Biau and Erwan Scornet · 2016
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Propensity score and proximity matching using random forest
Peng Zhao, Xiaogang Su, Tingting Ge, and Juanjuan Fan · 2016
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