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04/02/2023
TSCI: two stage curvature identification for causal inference with invalid instruments
TSCI implements treatment effect estimation from observational data unde...
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02/11/2023
Confidence and Uncertainty Assessment for Distributional Random Forests
The Distributional Random Forest (DRF) is a recently introduced Random F...
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06/29/2022
Treatment Effect Estimation from Observational Network Data using Augmented Inverse Probability Weighting and Machine Learning
Causal inference methods for treatment effect estimation usually assume ...
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08/31/2021
Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements
Traditionally, spline or kernel approaches in combination with parametri...
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01/29/2021