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<http://episodesplatform.eu/eprints/id/eprint/195> <http://purl.org/dc/terms/title> "Clustering Analysis of Seismicity and Aftershock Identification"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://episodesplatform.eu/eprints/id/eprint/195> <http://purl.org/ontology/bibo/abstract> "We introduce a statistical methodology for clustering analysis of seismicity in the time-space-energy domain and use it to establish the existence of two statistically distinct populations of earthquakes: clustered and nonclustered. This result can be used, in particular, for nonparametric aftershock identification. The proposed approach expands the analysis of Baiesi and Paczuski [Phys. Rev. E 69, 066106 (2004)] based on the space-time-magnitude nearest-neighbor distance η between earthquakes. We show that for a homogeneous Poisson marked point field with exponential marks, the distance η has the Weibull distribution, which bridges our results with classical correlation analysis for point fields. The joint 2D distribution of spatial and temporal components of η is used to identify the clustered part of a point field. The proposed technique is applied to several seismicity models and to the observed seismicity of southern California."^^<http://www.w3.org/2001/XMLSchema#string> .
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<https://episodesplatform.eu/eprints/195/> <http://purl.org/dc/elements/1.1/title> "HTML Summary of #195 \n\nClustering Analysis of Seismicity and Aftershock Identification\n\n" .
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