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Modeling earthquake dynamics

Author

Listed:
  • Arthur Charpentier

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique, UQAM - Université du Québec à Montréal = University of Québec in Montréal)

  • Marilou Durand

    (UQAM - Université du Québec à Montréal = University of Québec in Montréal)

Abstract

In this paper, we investigate questions arising in Parsons and Geist (Bull Seismol Soc Am 102:1–11, 2012). Pseudo causal models connecting magnitudes and waiting times are considered, through generalized regression. We do use conditional model (magnitude given previous waiting time, and conversely) as an extension to joint distribution model described in Nikoloulopoulos and Karlis (Environmetrics 19: 251–269, 2008). On the one hand, we fit a Pareto distribution for earthquake magnitudes, where the tail index is a function of waiting time following previous earthquake; on the other hand, waiting times are modeled using a Gamma or a Weibull distribution, where parameters are functions of the magnitude of the previous earthquake. We use those two models, alternatively, to generate the dynamics of earthquake occurrence, and to estimate the probability of occurrence of several earthquakes within a year or a decade.

Suggested Citation

  • Arthur Charpentier & Marilou Durand, 2015. "Modeling earthquake dynamics," Post-Print halshs-01241841, HAL.
  • Handle: RePEc:hal:journl:halshs-01241841
    DOI: 10.1007/s10950-015-9489-9
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    Cited by:

    1. Md. Habibur Rahman & Md. Moyazzem Hossain, 2022. "Distribution of Earthquake Magnitude Levels in Bangladesh," Journal of Geography and Geology, Canadian Center of Science and Education, vol. 11(3), pages 1-15, September.

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