Recent Advances in Semi‐Parametric Methods for Causal Discovery
Shohei Shimizu, Patrick Blöbaum · 2020
This chapter discusses that a wider variety of causal structures can be identified or uniquely estimated under semi-parametric assumptions on functional forms and error distributions than when using classical methods based on conditional independence, specifically, linearity and non-Gaussian continuous errors and nonlinearity and independent mechanism assumption.