Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks

TL;DR

We propose a method to uncover causal relationships in partially observed multivariate Hawkes processes, despite the presence of latent subprocesses, using a discrete-time representation and a two-phase iterative algorithm.

Opening excerpt from the authors’ abstract. source