Data Science, Statistics, Causality, Machine Learning, Analytics.
confounder U. Think of the Y’s as the column names, predictors in the regression model. We assume no interference and no interaction — an oversimplification for sure, but pragmatic. This DAG looks restrictive, but it’s reasonable enough for many real-world processes (refer to the paper for