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Seismological Applications of Statistical Methods for Point-Process Modelling
1994Applications of point-process models seem to be needed in various fields such as engineering, neurophysiology, epidemiology, seismology, etc . On th e other hand , unlike th e case of ordinary time series, such process are sharply non-linear and non-Gaussian. Therefore almost no general models nor theories have been fully developed. Actually, modelling
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Statistical models for data processing in seismology and magnetic prospecting
Reviews of Geophysics, 1965The problems of geophysical data processing are reducible to those of maximizing certain likelihood functions in which the parameters of the likelihood functions are the parameters of the geophysical model. Examples are given from travel‐time seismology and magnetic prospecting.
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Statistical Features of ETAS Model Parameters in Early Stage and the Seismological Meanings
Chinese Journal of Geophysics, 2007AbstractThe average statistical features of ETAS (Epidemic Type Aftershock Sequence) model parameters during the early stage (15 days) after the moderate or large earthquakes in Chinese mainland have been studied and the decay and generation of aftershocks under the different conditions have been discussed.
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Phase transitions in explorations seismology : statistical mechanics meets information theory
2008n this paper, two different applications of phase transitions to exploration seismology will be discussed. The first application concerns a phase diagram ruling the recovery conditions for seismic data volumes from incomplete and noisy data while the second phase transition describes the behavior of bi-compositional mixtures as a function of the volume
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Harnessing the potential of digital twins in seismology
Nature Reviews Earth & Environment, 2023Luca Dal Zilio +2 more
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