Please use this identifier to cite or link to this item:

Title: Long-term slip history discriminates among occurrence models for seismic hazard assessment
Authors: Fitzenz, Delphine
Ferry, Matthieu
Jalobeanu, Andre
Keywords: seismic hazard
geomorphic data
earthquake occurrence
Issue Date: Oct-2010
Abstract: We propose a Bayesian framework for the combination of catalogs of large earthquakes and dated cumulative slip data. It provides a quantitative way of discriminating or ranking the different renewal models. Indeed, once the datasets and priors are chosen, no additional expert opinion is required, and the ranking comes out of the Bayes factors directly. This way, the experience of experts is valorized, but the effects of group dynamics do not directly influence the weighing of the different candidate models.
Type: article
Appears in Collections:CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2010gl044071-txts01.pdfonline supporting document499.16 kBAdobe PDFView/Open
2010GL044071.pdfdocumento principal (sem online supporting document)874.26 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois