Data Science, Causality, Statistics, Advertising, Python.
same result instead with a re-sampling process, where each data point is sampled with inverse propensity weights, 1/P(X=xi|Z=zi). That means we can compute the expectations of arbitrary functions by computing them over a weighted random sample of the data, and taking a simple average of the