115 citations · 322 across the 6 of their papers we have counts for
5 papers
Earthquake Forecasting Based on Data Assimilation: Sequential Monte Carlo Methods for Renewal Processes
M. J. Werner, K. Ide, D. Sornette
In meteorology, engineering and computer sciences, data assimilation is routinely employed as the optimal way to combine noisy observations with prior model information for obtaini…
Statistical Physics Approaches to Seismicity
D. Sornette, M. J. Werner
This entry in the Encyclopedia of Complexity and Systems Science, Springer present a summary of some of the concepts and calculational tools that have been developed in attempts to…
Magnitude Uncertainties Impact Seismic Rate Estimates, Forecasts and Predictability Experiments
M. J. Werner, D. Sornette
The Collaboratory for the Study of Earthquake Predictability (CSEP) aims to prospectively test time-dependent earthquake probability forecasts on their consistency with observation…
Apparent Clustering and Apparent Background Earthquakes Biased by Undetected Seismicity
D. Sornette, M. J. Werner
In models of triggered seismicity and in their inversion with empirical data, the detection threshold m_d is commonly equated to the magnitude m_0 of the smallest triggering earthq…
Constraints on the Size of the Smallest Triggering Earthquake from the ETAS Model, Baath's Law, and Observed Aftershock Sequences
D. Sornette, M. J. Werner
The physics of earthquake triggering together with simple assumptions of self-similarity impose the existence of a minimum magnitude m0 below which earthquakes do not trigger other…