Etas space–time modeling of chile triggered seismicity using covariates: Some preliminary results
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Fecha
2021-10
Profesor/a Guía
Facultad/escuela
Idioma
es
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Título del volumen
Editor
MDPI
Nombre de Curso
Licencia CC
Attribution 4.0 International (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/
Resumen
Chilean seismic activity is one of the strongest in the world. As already shown in previous papers, seismic activity can be usefully described by a space–time branching process, such as the ETAS (Epidemic Type Aftershock Sequences) model, which is a semiparametric model with a large time-scale component for the background seismicity and a small time-scale component for the triggered seismicity. The use of covariates can improve the description of triggered seismicity in the ETAS model, so in this paper, we study the Chilean seismicity separately for the North and South area, using some GPS-related data observed together with ordinary catalog data. Our results show evidence that the use of some covariates can improve the fitting of the ETAS model.
Notas
Indexación: Scopus.
Palabras clave
ETAS model, Model selection, Semiparametric models, Triggered seismicity
Citación
DOI
10.3390/app11199143