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GIADA ADELFIO

An algorithm for earthquakes clustering based on maximum likelihood

  • Autori: ADELFIO G; CHIODI M; LUZIO D
  • Anno di pubblicazione: 2007
  • Tipologia: Contributo in atti di convegno pubblicato in volume
  • OA Link: http://hdl.handle.net/10447/23367

Abstract

A new diagnostic method for space-time point process is here introduced and applied to seismic data. It is based on the interpretation of some second-order statistics, that alow to analyze clustering features of data. In particular, this method is used to assess the goodness of fit of ETAS model, estimated by a nonparametric approach; the goal of this paper is to interpret space-time variations of seismic activity of a fixed area of Japan and to focus on clustering features that are useful for prediction purposes