Controlling for discrete unmeasured confounding in nonlinear causal models

Patrick Burauel, Frederick Eberhardt, Michel Besserve

Unmeasured confounding is a major challenge for identifying causal relationships from non-experimental data. Here, we propose a method that can accommodate unmeasured discrete conf…