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Modified Causal Forests for Estimating Heterogeneous Causal Effects

Modified Causal Forests for Estimating Heterogeneous Causal Effects

22 December 2018
M. Lechner
    CML
ArXivPDFHTML

Papers citing "Modified Causal Forests for Estimating Heterogeneous Causal Effects"

4 / 4 papers shown
Title
Double Machine Learning for Static Panel Models with Fixed Effects
Double Machine Learning for Static Panel Models with Fixed Effects
Paul Clarke
Annalivia Polselli
60
2
0
03 Jan 2025
M$^3$TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment
  Network for Uplift Modeling
M3^33TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
Zexu Sun
Xu Chen
40
3
0
24 Jan 2024
Priority to unemployed immigrants? A causal machine learning evaluation
  of training in Belgium
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Bart Cockx
Michael Lechner
Joost Boolens
CML
23
108
0
30 Dec 2019
Response Transformation and Profit Decomposition for Revenue Uplift
  Modeling
Response Transformation and Profit Decomposition for Revenue Uplift Modeling
R. M. Gubela
Stefan Lessmann
S. Jaroszewicz
OffRL
28
51
0
20 Nov 2019
1