Results 51 to 60 of about 2,782,163 (203)
EntropyThe b-value is a critical parameter for gauging seismic activity and is essential for seismic hazard assessment, monitoring stress evolution in focal zones, and forecasting major earthquakes. The minimum magnitude of completeness (Mc), a key indicator of
Chen Li +3 more
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Statistical models in seismology: Lesser Antilles arc case
Bulletin de la Société Géologique de France, 2013 AbstractSeismic risk calculation is based on stochastic models describing at best the seismic activity. The focus is on calculating earthquakes occurrences probability and analyzing spatiotemporal evolution of these probabilities. The point process theory is the main tool for modeling seismic data and taking into account past history prior to a given ...
Valmy, Larissa, Vaillant, Jean
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Flexible Seismicity Modeling With Neural Modulated Renewal Processes
Earth's FutureNeural point processes (NPPs) have recently been applied to seismicity modeling, but their theoretical connections to classical point processes models remain elusive.
Chengxiang Zhan +2 more
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Forecasting the Rate of Induced Seismicity as a Neural Temporal Point Process
Journal of Geophysical Research: Machine Learning and ComputationForecasting is an essential part of risk mitigation, where the mitigation efficacy depends strongly on the quality of forecasts. We explore the neural temporal point process as a deep learning framework to forecast induced earthquakes.
Ryan Schultz, Stefan Wiemer
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International handbook of earthquake and engineering seismology /
, 2002 The two volume International Handbook of Earthquake and Engineering Seismology represents the International Association of Seismology and Physics of the Earth's Interior's (IASPEI) ambition to provide a comprehensive overview of our present knowledge of ...
International Association for Earthquake Engineering. +2 more
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A review and new insights on the estimation of the b-valueand its uncertainty
Annals of Geophysics, 2003 The estimation of the b-value of the Gutenberg-Richter Law and its uncertainty is crucial in seismic hazard studies, as well as in verifying theoretical assertions, such as, for example, the universality of the Gutenberg-Richter Law.
L. Sandri, W. Marzocchi
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Some Statistical Methods for Random Process Data from Seismology and Neurophysiology [PDF]
The Annals of Statistics, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Computational Seismology Workshop Trains Early-Career Scientists
, 2018 2017 CIG–LLNL Computational Seismology Workshop; Livermore, California, 18–22 September ...
Arthur Rodgers +2 more
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EntropyThe 2019 Ridgecrest MW7.1 earthquake has received significant attention due to its complex fault activity. It is also noticeable for its MW6.4 foreshock sequence.
Jianchang Zheng +2 more
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