Supplementary Material for “ Statistical test for consistent estimation of causal effects in linear non-Gaussian models ”

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Causal Inference through a Witness Protection Program (2014, methodology): “In the next Section, we discuss how this procedure is integrated with statistical inference for P (W,X, Y,Z) and the search procedure of Entner et al. (2013). As the approach provides the witness a degree of protection against faithfulness violations, using a linear program, we call this framework t”
Data-driven covariate selection for nonparametric estimation of causal effects (2013, background): “For linear non-Gaussian acyclic models (each variable is a linear combination of its parents and a nonGaussian disturbance), Entner et al. (2012) tackle the problem of identifying whether an estimator of the causal effect of x on y is consistent and unbiased, given the same partial ordering assumpti”