Data Science, Causality, Statistics, Advertising, Python.
confounders for the effect of X on Y. The math works like this: we can write the expectation of some function of Y (for us, the CTR) under the interventional distribution like giving the familiar propensity score in the denominator. Now, we can add an estimator for P(Y, X, Z) using the counts of