An Analysis of Earthquakes Clustering Based on a Second-Order Diagnostic Approach
A diagnostic method for space–time point process is here introduced and applied to seismic data of a fixed area of Japan. Nonparametric methods are used to estimate the intensity function of a particular space–time point process and on the basis of the proposed diagnostic method, second-order features of data are analyzed: this approach seems to be useful to interpret space–time variations of the observed seismic activity and to focus on its clustering features.
KeywordsSeismic Activity Point Process Intensity Function Kernel Estimator Homogeneous Poisson Process
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