ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1405.0352
  4. Cited By
Asymptotic Theory for Random Forests
v1v2 (latest)

Asymptotic Theory for Random Forests

2 May 2014
Stefan Wager
ArXiv (abs)PDFHTML

Papers citing "Asymptotic Theory for Random Forests"

26 / 26 papers shown
Title
A simplified directional KeRF algorithm
A simplified directional KeRF algorithm
Iakovidis Isidoros
Nicola Arcozzi
33
0
0
04 Jul 2024
Improved convergence rates for some kernel random forest algorithms
Improved convergence rates for some kernel random forest algorithms
I. Iakovidis
Nicola Arcozzi
39
1
0
10 Oct 2023
On the asymptotic properties of a bagging estimator with a massive
  dataset
On the asymptotic properties of a bagging estimator with a massive dataset
Yuan Gao
Riquan Zhang
Hansheng Wang
44
1
0
13 Apr 2023
Consistency of Oblique Decision Tree and its Boosting and Random Forest
Consistency of Oblique Decision Tree and its Boosting and Random Forest
Haoran Zhan
Yu Liu
Yingcun Xia
45
3
0
23 Nov 2022
Confidence Band Estimation for Survival Random Forests
Confidence Band Estimation for Survival Random Forests
S. Formentini
Wei Liang
Ruoqing Zhu
16
0
0
26 Apr 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit
  Performance
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
Gabriel Okasa
CML
55
6
0
30 Jan 2022
Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest
Xinglin Lai
CML
111
0
0
30 Nov 2021
Network Security Modeling using NetFlow Data: Detecting Botnet attacks
  in IP Traffic
Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic
Ganesh K. Subramaniam
Huan Chen
R. Varadhan
R. Archibald
32
2
0
19 Aug 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment
  Effects
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
Qiming Du
Gérard Biau
Franccois Petit
R. Porcher
CMLBDL
68
6
0
08 Jun 2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate
  Distributional Regression
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Domagoj Cevid
Loris Michel
Jeffrey Näf
N. Meinshausen
Peter Buhlmann
96
43
0
29 May 2020
Models under which random forests perform badly; consequences for
  applications
Models under which random forests perform badly; consequences for applications
J. A. Ferreira
18
4
0
02 Oct 2019
The Use of Binary Choice Forests to Model and Estimate Discrete Choices
The Use of Binary Choice Forests to Model and Estimate Discrete Choices
Ningyuan Chen
G. Gallego
Zhuodong Tang
29
17
0
03 Aug 2019
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear
  Regressions
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions
Yuri R. Fonseca
M. C. Medeiros
Gabriel F. R. Vasconcelos
Álvaro Veiga
28
9
0
10 Aug 2018
Sharp Analysis of a Simple Model for Random Forests
Sharp Analysis of a Simple Model for Random Forests
Jason M. Klusowski
FAtt
54
22
0
07 May 2018
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its
  Variance Estimate
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance Estimate
Indrayudh Ghosal
Giles Hooker
203
43
0
21 Mar 2018
Arbres CART et Forêts aléatoires, Importance et sélection de
  variables
Arbres CART et Forêts aléatoires, Importance et sélection de variables
Robin Genuer
Jean-Michel Poggi
153
10
0
26 Oct 2016
Unbiased split variable selection for random survival forests using
  maximally selected rank statistics
Unbiased split variable selection for random survival forests using maximally selected rank statistics
Marvin N. Wright
Theresa Dankowski
A. Ziegler
129
130
0
11 May 2016
Impact of subsampling and pruning on random forests
Impact of subsampling and pruning on random forests
Roxane Duroux
Erwan Scornet
64
13
0
14 Mar 2016
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
259
2,862
0
18 Nov 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDaCML
414
2,506
0
14 Oct 2015
Bootstrap Bias Corrections for Ensemble Methods
Bootstrap Bias Corrections for Ensemble Methods
Giles Hooker
L. Mentch
129
17
0
01 Jun 2015
Adaptive Concentration of Regression Trees, with Application to Random
  Forests
Adaptive Concentration of Regression Trees, with Application to Random Forests
Stefan Wager
G. Walther
168
25
0
22 Mar 2015
Random forests and kernel methods
Random forests and kernel methods
Erwan Scornet
215
229
0
12 Feb 2015
On the asymptotics of random forests
On the asymptotics of random forests
Erwan Scornet
76
89
0
07 Sep 2014
Formal Hypothesis Tests for Additive Structure in Random Forests
Formal Hypothesis Tests for Additive Structure in Random Forests
L. Mentch
Giles Hooker
TPM
61
4
0
07 Jun 2014
Consistency of random forests
Consistency of random forests
Erwan Scornet
Gérard Biau
Jean-Philippe Vert
201
520
0
12 May 2014
1