2 9 Ju l 2 01 3 ParceLiNGAM : A causal ordering method robust against latent confounders

We consider learning a causal ordering of variables in a linear non-Gaussian acyclic model called LiNGAM. Several existing methods have been shown to consistently estimate a causal ordering assuming that all the model assumptions are correct. But, the estimation results could be distorted if some assumptions actually are violated. In this paper, we propose… CONTINUE READING