We Are Not Your Real Parents: Telling Causal from Confounded using MDL
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
Given data over variables (X1, …, Xm, Y) we consider the problem of finding out whether X jointly causes Y or whether they are all confounded by an unobserved latent variable Z. To do so, we take an information-theoretic approach based on Kolmogorov complexity. In a nutshell, we follow the …