The physical origin of foreshocks remains one of the major unresolved problems in statistical seismology. In bottom-up (BU) triggering models, foreshocks are interpreted as ordinary earthquakes that stochastically trigger a larger event through cascading interactions, as in the Epidemic-Type Aftershock Sequence (ETAS)...
Herbian Hokky Prabowo, E. Lippiello, S. Hainzl et al.· 0 citations
We present a statistical analysis of the intense earthquake swarm near Santorini, Greece, in 2025. A change-point analysis of the b-value of the Gutenberg–Richter frequency-magnitude distribution indicates that, despite obvious spatiotemporal changes in seismicity characteristics during the crisis, there was no signifi...
G. Zöller, S. Hainzl· GEM - International Journal...· 0 citations
Earthquake catalogs are inherently incomplete, and short-term fluctuations in catalog completeness can strongly bias estimates of seismicity parameters. Here, we extend the positive statistics framework recently introduced for estimating Gutenberg–Richter a and b values to the epidemic-type aftershock sequence (ETAS)...
N. J. van der Elst, S. Hainzl· Bulletin of The Seismologica...· 0 citations
The Epidemic-Type Aftershock Sequence model is a well-established point process framework for characterizing earthquake occurrences. Traditionally, ETAS parameters are estimated using maximum likelihood methods, where the background rate is smoothed by a Gaussian kernel density. More recently, a Bayesian formulation ha...
Sofiane Taki-Eddine Rahmani, G. Zöller, S. Hainzl et al.· Seismica· 0 citations
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