RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders

Takashi Nicholas Maeda, Shohei Shimizu

Abstract: Causal discovery from data affected by latent confounders is an important and difficult challenge. Causal functional model-based approaches have not been used to present variables whose relationshi...