Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks

JJ Cai, P Wan, G Ozel - Extremes, 2021 - Springer
Extremes, 2021Springer
In an earthquake event, the combination of a strong mainshock and damaging aftershocks is
often the cause of severe structural damages and/or high death tolls. The objective of this
paper is to provide estimation for the probability of such extreme events where the
mainshock and the largest aftershocks exceed certain thresholds. Two approaches are
illustrated and compared–a parametric approach based on previously observed stochastic
laws in earthquake data, and a non-parametric approach based on bivariate extreme value …
Abstract
In an earthquake event, the combination of a strong mainshock and damaging aftershocks is often the cause of severe structural damages and/or high death tolls. The objective of this paper is to provide estimation for the probability of such extreme events where the mainshock and the largest aftershocks exceed certain thresholds. Two approaches are illustrated and compared – a parametric approach based on previously observed stochastic laws in earthquake data, and a non-parametric approach based on bivariate extreme value theory. We analyze the earthquake data from the North Anatolian Fault Zone (NAFZ) in Turkey during 1965–2018 and show that the two approaches provide unifying results.
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