Andrew Herren | DeepAI

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P. Richard Hahn
16 publications

research

∙ 05/18/2023

On true versus estimated propensity scores for treatment effect estimation with discrete controls

The finite sample variance of an inverse propensity weighted estimator i...

0 Andrew Herren, et al. ∙

research

∙ 09/23/2022

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

What is the ideal regression (if any) for estimating average causal effe...

0 P. Richard Hahn, et al. ∙

research

∙ 08/21/2022

Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation

SHAP is a popular method for measuring variable importance in machine le...

0 Andrew Herren, et al. ∙

research

∙ 09/14/2020

Semi-supervised learning and the question of true versus estimated propensity scores

A straightforward application of semi-supervised machine learning to the...

0 Andrew Herren, et al. ∙