Hawkes point processes based inference applied to seismic data analysis

Loubna Ben Allal and Antoine Lejay and Radu-Stefan Stoica. ( 2020 )
in: 2020 RING Meeting, ASGA

Abstract

The occurrences of earthquakes can be regarded as a point process. The arrivals of these earthquakes are, however not independent. Large earthquakes can trigger aftershocks. We say that the process is self-exciting. Hawkes processes are widely used self-exciting processes to model such phenomena. In this article, we apply these models with an exponential decay function to seismic data and show their relevance.

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    BibTeX Reference

    @INPROCEEDINGS{BENALLAL_RM2020,
        author = { Ben Allal, Loubna and Lejay, Antoine and Stoica, Radu-Stefan },
         title = { Hawkes point processes based inference applied to seismic data analysis },
     booktitle = { 2020 RING Meeting },
          year = { 2020 },
     publisher = { ASGA },
      abstract = { The occurrences of earthquakes can be regarded as a point process. The arrivals of these earthquakes are, however not independent. Large earthquakes can trigger aftershocks. We say that the process is self-exciting. Hawkes processes are widely used self-exciting processes to model such phenomena. In this article, we apply these models with an exponential decay function to seismic data and show their relevance. }
    }