Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes (Articolo in rivista)

Type
Label
  • Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1029/2008JB006272 (literal)
Alternative label
  • Rotondi R. (2010)
    Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes
    in Journal of geophysical research
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Rotondi R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 115 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR - Istituto di Matematica Applicata e Tecnologie Informatiche (literal)
Titolo
  • Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes (literal)
Abstract
  • Objective of the paper is to estimate the probability distribution of the time between consecutive earthquakes with the employ of two equally powerful tools: for the geology, a database of individual seismogenic sources, and for the statistics, assuming that the unknown distribution is a random measure, an estimation method based on the stochastic simulation of Markov chains. The resort to sophisticated instruments is motivated by the particular situation of Italy, where a complex tectonic model is combined with infrequent, medium-size earthquakes. The quality and the length of the parametric catalogue of Italian earthquakes provide for a generous data set, but bring with it problems of incompleteness and uncertainty regarding the parametrization of the events. The pointwise estimate of the inter-event time density functions makes it possible to calculate the occurrence probability depending on the date of the last event at different forecasting horizons. (literal)
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