Data Science, Causality, Statistics, Advertising, Python.
shown by the two causal graphs. Building on DoWhy and an early implementation in Adam’s causality package, we decided to build a more general class of causal effect estimators. While classic causal inference often focuses on binary causal states, and estimation of contrasts of the form Pearlian