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Author

S. Hainzl

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Open access Sep 2026

ETAS-Positive: Extracting Unbiased Epidemic-Type Aftershock Models from Incomplete Earthquake Catalogs

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 · 0 citations
Open access Aug 2026

SPDE-ETAS: Fast and accurate Bayesian inference for the spatio-temporal epidemic type aftershock sequence (ETAS) model

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. · 0 citations

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