Forecasting temporal variation of aftershocks immediately after a main shock using gaussian process regression

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  • who: Geophys. J. Int. ( et al. from the School of Engineering Science, Osaka University, Machikaneyama-cho, Toyonaka-shi, Osaka, Japan have published the paper: Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression, in the Journal: (JOURNAL)
  • what: This paper proposes the use of a detection function based on the GPR to model temporal changes in the detection probability of aftershocks, even immediately after a main shock. The authors propose a non-parametric Bayesian estimator to overcome these three problems. As for the computation of the model parameters, the authors . . .

     

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