Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework

Benito van der Zander, Maciej Liśkiewicz, Johannes Textor

Principled reasoning about the identifiability of causal effects from non-experimental data is an important application of graphical causal models. This paper focuses on effects th…