In The Book of Why, Judea Pearl puts forward several compelling reasons why the now so popular causal graph-theoretic approach is to be preferred over more traditional regression-based explanatory models. One reason is that causal graphs are non-parametric and therefore do not need to assume, for example, additivity and/or the absence of interaction effects — […]