Data Science, Causality, Statistics, Advertising, Python.
of a fundamental realization of Pearlian causal inference: that we can identify the interventional joint distribution, P(Y|do(X=x)), and from that we can compute any statistic we like! The Do-Sampler: Why it works The core problem is that it’s really hard to estimate probability distributions. This