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Treatment Effect Performance of the X-Learner in the Presence of Confounding and Non-Linearity

This study critically evaluates a recent machine learning method called the X-Learner, that aims to estimate treatment effects by predicting counterfactual quantities. It uses information from the treated group to predict counterfactuals for the control group and vice versa. The problem is that stud...

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Hlavní autoři: Bevan I. Smith, Charles Chimedza, Jacoba H. Bührmann
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2023-02-01
Edice:Mathematical and Computational Applications
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On-line přístup:https://www.mdpi.com/2297-8747/28/2/32
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