Causal Inference on Discrete Data using Additive Noise Models

Jonas Peters, Dominik Janzing, Bernhard Schölkopf

Inferring the causal structure of a set of random variables from a finite sample of the joint distribution is an important problem in science. Recently, methods using additive nois…