The paper proposes a stochastic process that improves the assessment of seismic events in space and time, considering a contagion model (branching process) within a regression-like framework. The proposed approach develops the Forward Likelihood for prediction (FLP) method including covariates in the epidemic component.

Adelfio G and Chiodi M (2018). A space-time branching process with covariates. In Book of Extended Abstracts of the METMA 9 (pp. 121-124).

A space-time branching process with covariates

Adelfio G
;
Chiodi M
2018-01-01

Abstract

The paper proposes a stochastic process that improves the assessment of seismic events in space and time, considering a contagion model (branching process) within a regression-like framework. The proposed approach develops the Forward Likelihood for prediction (FLP) method including covariates in the epidemic component.
2018
Space-time Point Process; FLP; covariates; ETAS model
Adelfio G and Chiodi M (2018). A space-time branching process with covariates. In Book of Extended Abstracts of the METMA 9 (pp. 121-124).
File in questo prodotto:
File Dimensione Formato  
metma9_adelfio.pdf

accesso aperto

Descrizione: Contributo completo
Tipologia: Versione Editoriale
Dimensione 462.16 kB
Formato Adobe PDF
462.16 kB Adobe PDF Visualizza/Apri
proceedingsMETMA9 (1).pdf

accesso aperto

Tipologia: Versione Editoriale
Dimensione 776.81 kB
Formato Adobe PDF
776.81 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/315661
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact