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arXiv Machine Learning

Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding

arXiv:2503. 20546v2 Announce Type: replace-cross Abstract: We consider the problem of estimating the expected causal effect $E[Y|do(X)]$ for a target variable $Y$ when treatment $X$ is set by intervention, focusing on continuous random variables.

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