Jonas Peters

backShift: Learning causal cyclic graphs from unknown shift interventions

2015 · arXiv (Cornell University)

We propose a simple method to learn linear causal cyclic models in the presence of latent variables. The method relies on equilibrium data of the model recorded under a specific kind of interventions ("shift interventions"). …