Data Science, Causality, Statistics, Advertising, Python.
with causal models as a fundamental data structure. It uses these to explicitly specify our assumptions (“what we know”), build an inference plan (“what to estimate”), and to construct estimation methods (“how to estimate”). Afterwards, this framework provides natural methods for checking