Seismic events classification through latent class regression models for point processes

We are trying to identify sub-processes of seismic events from the point processes’ point of view and according to the latent class regression approach. Each seismic event is classified as membership of one of the 4 identified sub-classes of seismic sequences, each defined by particular and well-defined characteristics. So far, seismic sub-sequences have been identified and described according to several declustering methods. In this application, we show how sub-processes can be identified starting from the definition of a spatio-temporal intensity function for point processes, assuming independence of the past.