Vahideh Sanjaroonpouri

Linear SCM Identification in the Presence of Confounders and Gaussian Noise

Noisy linear structural causal models (SCMs) in the presence of confounding variables are known to be identifiable if all confounding and noise variables are non-Gaussian and unidentifiable if all are Gaussian. The identifiability when only some are Gaussian remains concealed. We show that,…