Data Science, Causality, Statistics, Advertising, Python.
causal inference focuses on estimating far more general quantities, like the distribution P(Y|do(X=x)). This works, in theory, even when X and Y are multivariate, and with mixed data types! This was the starting place for the do-sampler. If we could generate samples from this distribution, we could