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Stochastic Tree Ensembles for Estimating Heterogeneous Effects
15 September 2022
Nikolay M. Krantsevich
Jingyu He
P. R. Hahn
CML
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Papers citing
"Stochastic Tree Ensembles for Estimating Heterogeneous Effects"
5 / 5 papers shown
Title
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Hugo Gobato Souto
Francisco Louzada Neto
11
0
0
14 May 2025
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
Nathan McJames
Ann O'Shea
Andrew C. Parnell
33
0
0
16 Jul 2024
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
Demetrios Papakostas
Andrew Herren
P. R. Hahn
Francisco Castillo
CML
BDL
24
0
0
06 May 2024
Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations
P. R. Hahn
Andrew Herren
CML
21
3
0
23 Sep 2022
Local Gaussian process extrapolation for BART models with applications to causal inference
Meijia Wang
Jingyu He
P. R. Hahn
18
11
0
23 Apr 2022
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