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P. Richard Hahn

Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation

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May 06, 2024
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Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations

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Sep 23, 2022
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Stochastic Tree Ensembles for Estimating Heterogeneous Effects

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Sep 15, 2022
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Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation

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Aug 21, 2022
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Local Gaussian process extrapolation for BART models with applications to causal inference

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Apr 23, 2022
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Semi-supervised learning and the question of true versus estimated propensity scores

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Sep 14, 2020
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Stochastic tree ensembles for regularized nonlinear regression

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Feb 09, 2020
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A Survey of Learning Causality with Data: Problems and Methods

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Sep 26, 2018
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Efficient sampling for Gaussian linear regression with arbitrary priors

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Jun 14, 2018
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A Structural Approach to Coordinate-Free Statistics

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May 05, 2014
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