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|
|Keywords: ||seismic hazard|
|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.|
|Appears in Collections:||CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.