Fetching the paper…
Reading the bibliography…
As a flexible nonparametric learning tool, the random forests algorithm has been widely applied to various real applications with appealing empirical performance, even in the presence of high-dimensional feature space.
[author] Klusowski, Jason MJ. M. (2019). Analyzing CART. arXiv preprint arXiv:1906.10086
1906
Earlier work this paper cites.
[author] Bernstein, SS. (1924). Sur une modification de l’inéqualité de Tchebichef. Annal. Sci. Inst. Sav. Ukr. Sect. Math. I 38–49
1924
Earlier work this paper cites.
[author] Bennett, GeorgeG. (1962). Probability inequalities for the sum of independent random variables. Journal of the American Statistical Association 57 33–45
1962
Earlier work this paper cites.
[author] Stone, Charles JC. J. (1977). Consistent nonparametric regression. The Annals of Statistics 5 595–620
1977
Earlier work this paper cites.
[author] Breiman, LeoL. (1996). Bagging predictors. Machine learning 24 123–140
1996
Earlier work this paper cites.
[author] Nobel, AndrewA. (1996). Histogram regression estimation using data-dependent partitions. The Annals of Statistics 24 1084–1105
1996
Earlier work this paper cites.
[author] Breiman, LeoL. (2001). Random forests. Machine Learning 45 5–32
2001
Earlier work this paper cites.
2001
Earlier work this paper cites.
[author] Breiman, LeoL. (2002). Manual on setting up, using, and understanding random forests v3. 1. Statistics Department University of California Berkeley, CA, USA 1 58
2002
Earlier work this paper cites.
[author] Liaw, AndyA. and Wiener, MatthewM. (2002). Classification and Regression by randomForest. R News 2 18-22
2002
Earlier work this paper cites.
[author] Bai, Zhi-DongZ.-D., Devroye, LucL., Hwang, Hsien-KueiH.-K. and Tsai, Tsung-HsiT.-H. (2005). Maxima in hypercubes. Random Structures & Algorithms 27 290–309
2005
Earlier work this paper cites.
[author] Díaz-Uriarte, RamónR. and De Andres, Sara AlvarezS. A. (2006). Gene selection and classification of microarray data using random forest. BMC Bioinformatics 7 3
2006
Earlier work this paper cites.
[author] Gislason, Pall OskarP. O., Benediktsson, Jon AtliJ. A. and Sveinsson, Johannes RJ. R. (2006). Random forests for land cover classification. Pattern Recognition Letters 27 294–300
2006
Earlier work this paper cites.
[author] Lin, YiY. and Jeon, YonghoY. (2006). Random forests and adaptive nearest neighbors. Journal of the American Statistical Association 101 578–590
2006
Cited alongside, same era.
[author] Fan, J.J. and Fan, Y.Y. (2008). High-dimensional classification using features annealed independence rules. The Annals of Statistics 36 2605–2637
2008
Cited alongside, same era.
[author] Fan, J.J. and Lv, J.J. (2008). Sure independence screening for ultrahigh dimensional feature space (with discussion). Journal of the Royal Statistical Society Series B 70 849–911
2008
Cited alongside, same era.
[author] Ishwaran, HemantH., Kogalur, Udaya BU. B., Blackstone, Eugene HE. H. and Lauer, Michael SM. S. (2008). Random survival forests. The Annals of Applied Statistics 2 841–860
2008
Cited alongside, same era.
[author] Ishwaran, HemantH. and Kogalur, Udaya BU. B. (2010). Consistency of random survival forests. Statistics & Probability Letters 80 1056–1064
[author] Varian, Hal RH. R. (2014). Big data: New tricks for econometrics. Journal of Economic Perspectives 28 3–28
2014
Later among the works it cites.
[author] Wager, StefanS., Hastie, TrevorT. and Efron, BradleyB. (2014). Confidence intervals for random forests: The jackknife and the infinitesimal jackknife. Journal of Machine Learning Research 15 1625–1651
2014
Later among the works it cites.
[author] Scornet, ErwanE., Biau, GérardG. and Vert, Jean-PhilippeJ.-P. (2015). Consistency of random forests. The Annals of Statistics 43 1716–1741
2015
Later among the works it cites.
2015
Later among the works it cites.
[author] Biau, GérardG. and Scornet, ErwanE. (2016). A random forest guided tour. Test 25 197–227
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2010
Cited alongside, same era.
[author] Fan, JianqingJ., Feng, YangY. and Song, RuiR. (2011). Nonparametric independence screening in sparse ultra-high-dimensional additive models. Journal of the American Statistical Association 106 544–557
2011
Cited alongside, same era.
[author] Goldstein, Benjamin AB. A., Polley, Eric CE. C. and Briggs, Farren BSF. B. (2011). Random forests for genetic association studies. Statistical Applications in Genetics and Molecular Biology 10 32
2011
Cited alongside, same era.
[author] Biau, GÊrardG. (2012). Analysis of a random forests model. Journal of Machine Learning Research 13 1063–1095
2012
Cited alongside, same era.
[author] Genuer, RobinR. (2012). Variance reduction in purely random forests. Journal of Nonparametric Statistics 24 543–562
2012
Cited alongside, same era.
Howard, J
2012
Cited alongside, same era.
[author] Qi, YanjunY. (2012). Random forest for bioinformatics. In Ensemble Machine Learning 307–323. Springer
2012
Cited alongside, same era.
[author] Louppe, GillesG., Wehenkel, LouisL., Sutera, AntonioA. and Geurts, PierreP. (2013). Understanding variable importances in forests of randomized trees. Advances in neural information processing systems 26 431–439
2013
Cited alongside, same era.
2016
Later among the works it cites.
2016
Later among the works it cites.
[author] Fan, J.J. and Lv, J.J. (2018). Sure independence screening (invited review article). Wiley StatsRef: Statistics Reference Online 1–8
2018
Later among the works it cites.
[author] Wager, StefanS. and Athey, SusanS. (2018). Estimation and inference of heterogeneous treatment effects using random forests. Journal of the American Statistical Association 113 1228–1242
2018
Later among the works it cites.
[author] Athey, SusanS., Tibshirani, JulieJ. and Wager, StefanS. (2019). Generalized random forests. The Annals of Statistics 47 1148–1178
2019
Later among the works it cites.
[author] Mourtada, JaouadJ., Gaïffas, StéphaneS. and Scornet, ErwanE. (2020). Minimax optimal rates for Mondrian trees and forests. The Annals of Statistics 48 2253–2276. 10.1214/19-AOS1886
2020
Closest in time.
Syrgkanis, V
2020
Closest in time.
Klusowski, J. M
2021
Closest in time.
[author] Biau, GÊrardG., Devroye, LucL. and Lugosi, GÃĄborG. (2008). Consistency of random forests and other averaging classifiers. Journal of Machine Learning Research 9 2015–2033
2033
Closest in time.