Ancestral causal learning in high dimensions with a human genome-wide application

Umberto Noè, Bernd Taschler, Joachim Täger +2

We consider learning ancestral causal relationships in high dimensions. Our approach is driven by a supervised learning perspective, with discrete indicators of causal relationship…