Windowed Etas Models With Application To The Chilean Seismic Catalogs

Giada Adelfio, Marcello Chiodi, Orietta Nicolis

Risultato della ricerca: Article

6 Citazioni (Scopus)

Abstract

The seismicity in Chile is estimated using an ETAS (Epidemic Type Aftershock sequences) space-time point process through a semi-parametric technique to account for the estimation of parametric and nonparametric components simultaneously. The twocomponents account for triggered and background seismicity respectively, and are estimated by alternating a ML estimation for theparametric part and a forward predictive likelihood technique for the nonparametric one. Given the geographic and seismologicalcharacteristics of Chile, the sensitivity of the technique with respect to dierent geographical areas is examined in overlappingsuccessive windows with varying latitude. A different behaviour of background and triggered seismicity in the different windowsis observed and analyzed.
Lingua originaleEnglish
Numero di pagine16
RivistaSpatial Statistics
Stato di pubblicazionePublished - 2015

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seismicity
Point Process
aftershock
Likelihood
Space-time
Model
Background

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computers in Earth Sciences
  • Management, Monitoring, Policy and Law

Cita questo

Windowed Etas Models With Application To The Chilean Seismic Catalogs. / Adelfio, Giada; Chiodi, Marcello; Nicolis, Orietta.

In: Spatial Statistics, 2015.

Risultato della ricerca: Article

Adelfio, G, Chiodi, M & Nicolis, O 2015, 'Windowed Etas Models With Application To The Chilean Seismic Catalogs', Spatial Statistics.
Adelfio G, Chiodi M, Nicolis O. Windowed Etas Models With Application To The Chilean Seismic Catalogs. Spatial Statistics. 2015.
Adelfio, Giada ; Chiodi, Marcello ; Nicolis, Orietta. / Windowed Etas Models With Application To The Chilean Seismic Catalogs. In: Spatial Statistics. 2015.
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AB - The seismicity in Chile is estimated using an ETAS (Epidemic Type Aftershock sequences) space-time point process through a semi-parametric technique to account for the estimation of parametric and nonparametric components simultaneously. The twocomponents account for triggered and background seismicity respectively, and are estimated by alternating a ML estimation for theparametric part and a forward predictive likelihood technique for the nonparametric one. Given the geographic and seismologicalcharacteristics of Chile, the sensitivity of the technique with respect to dierent geographical areas is examined in overlappingsuccessive windows with varying latitude. A different behaviour of background and triggered seismicity in the different windowsis observed and analyzed.

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