Learning Linear Non-Gaussian Polytree Models

1 code implementation • 13 Aug 2022 • Daniele Tramontano, Anthea Monod, Mathias Drton

In the context of graphical causal discovery, we adapt the versatile framework of linear non-Gaussian acyclic models (LiNGAMs) to propose new algorithms to efficiently learn graphs that are polytrees.

Causal Discovery