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http://hdl.handle.net/2122/9263
Authors: | Lippiello, E.* Giacco, F.* De Arcangelis, L.* Marzocchi, W.* Godano, C.* |
Title: | Parameter Estimation in the ETAS Model: Approximations and Novel Methods | Journal: | Bulletin of the Seismological Society of America | Series/Report no.: | /104 (2014) | Publisher: | Seismological Society of America | Issue Date: | 2014 | DOI: | 10.1785/0120130148 | Keywords: | etas model parameter estimation |
Subject Classification: | 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability | Abstract: | Branching processes provide an accurate description of earthquake occurrence in the short term (days to a few weeks). Yet, the implementation of these models is not usually straightforward because of the difficulties in estimating the parameters. Indeed, log-likelihood estimation involves a spatial integral that cannot be analytically evaluated and is difficult to implement in numerical codes. Here we present a novel technique that allows for an accurate, stable, and relatively fast param- eter inversion procedure. We study the efficiency of this technique using synthetic epidemic-type aftershock sequence catalogs with a set of parameters known a priori. Results show the efficiency of the novel technique and illustrate the limits of recently proposed approximations |
Appears in Collections: | Article published / in press |
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