Maximum likelihood estimation for Hawkes processes with self-excitation or inhibition

In this paper, we present a maximum likelihood method for estimating the parameters of univariate Hawkes process with self-excitation or inhibition. Our work generalizes techniques and results that were restricted to self-exciting scenario. The proposed estimator is implemented classical exponential kernel show that, in inhibition context, our procedure provides more accurate estimations than current alternative approaches.