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Please use this identifier to cite or link to this item: 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
Title of 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
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:04.06.02. Earthquake interactions and probability
Papers Published / Papers in press

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