1. A linear non-Gaussian acyclic model for causal discovery;Shimizu;Journal of Machine Learning Research,2006
2. Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions;Shimizu;J. Mach. Learn. Res.,2014
3. Nonlinear causal discovery with additive noise models;Hoyer;Advances in neural information processing systems,2008
4. Causal inference on discrete data using additive noise models;Peters;IEEE Transactions on Pattern Analysis and Machine Intelligence,2011