Learning (nonlinear) causal relations amongst observed variables when there are hidden/latent variables present
Objective: learn the maximal ancestral graph (MAG), where variables are connected by directed edges (X -> Y) or bi-directed edges (X <-> Y) that indicate causal relations and confounding relations, respectively
