1. S. L. Morgan, C. Winship, Counterfactuals and Causal Inference (Cambridge University Press, 2015).
2. M. Glymour, J. Pearl, N. P. Jewell, Causal Inference in Statistics: A Primer (John Wiley & Sons, 2016).
3. Probabilistic latent variable models for distinguishing between cause and effect;Stegle O.;Adv. Neural. Inf. Process. Syst.,2010
4. D. Lopez-Paz K. Muandet B. Schölkopf I. Tolstikhin “Towards a learning theory of cause–effect inference” in International Conference on Machine Learning (PMLR 2015) pp. 1452–1461.
5. A non-adapted sparse approximation of PDEs with stochastic inputs