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Physical and statistical approaches to earthquake modeling and forecasting. Ilaria Spassiani, Matteo Taroni, Angela Stallone and Pietro Artale Harris.
Statistical seismology represents a promising and active research field in earthquake forecasting applications. It combines rigorous statistical methods and ...
Title: Editorial: Physical and statistical approaches to earthquake modeling and forecasting ; Journal: Frontiers in Applied Mathematics and Statistics ; Series/ ...
Editorial: Physical and statistical approaches to earthquake modeling and forecasting ; Ilaria Spassiani, Matteo Taroni, Angela Stallone, Pietro Artale Harris.
The goal of our repository is to collect, capture, disseminate and preserve the results of research in the fields of Atmosphere, Cryosphere, Hydrosphere and ...
Editorial: Statistical and machine learning approach to earthquake forecast: Models, laboratory and field data. Frontiers in Earth Science.
Nov 30, 2015 · I compare two short-term earthquake clustering models, based on epidemic-type aftershock sequence (ETAS) statistics, four physics-based (CRS) ...
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This book is the first comprehensive and methodologically rigorous analysis of earthquake occurrence. Models based on the theory of the stochastic ...
Aug 29, 2024 · Her experience is in applying statistical methods to earthquake data to study clustering and to develop probabilistic earthquake forecasts.
Mar 2, 2024 · Here we compare five models and use Bayesian model-averaging to produce time-dependent, probabilistic forecasts of large earthquakes along 93 fault segments ...