Data Science, Machine Learning, Causality, Causal Inference, Python.
graph inference, and testing around whether the variables being controlled render the desired causal effect identifiable. The controlling algorithm, then, needs an expected causal graph to check when you request causal effects. If you’re happy to accept hypothesis graphs as assumptions that precede