Robustness in LiNGAM

We review the LiNGAM structural causal model, its identifiability properties and the three most popular algorithms for fitting the model on real data. We illustrate the sensitivity of these algorithms to a single outlier in the data. A robust counterpart for each of the three algorithms is presented, and it is shown that one of them, TSLiNGAM, is particularly promising.