activity
20162022
most citedThe Effect of Declustering on the Size Distribution of Mainshocks

79 citations · 331 across the 10 of their papers we have counts for

collaborators
Showing physics.geo-phShow all

10 papers · 1 filter

physics.geo-ph2022★ 14 cited

Question-driven ensembles of flexible ETAS models

Leila Mizrahi, Shyam Nandan, William Savran +2

The development of new earthquake forecasting models is often motivated by one of the following complementary goals: to gain new insights into the governing physics and to produce…

physics.geo-ph2021★ 1 cited

Triggering of large earthquakes is driven by their twins

Shyam Nandan, Guy Ouillon, Didier Sornette

Fundamentally related to the UV divergence problem in Physics, conventional wisdom in seismology is that the smallest earthquakes, which are numerous and often go undetected, domin…

physics.geo-ph2021★ 46 cited

Embracing Data Incompleteness for Better Earthquake Forecasting

Leila Mizrahi, Shyam Nandan, Stefan Wiemer

We propose two methods to calibrate the parameters of the epidemic-type aftershock sequence (ETAS) model based on expectation maximization (EM) while accounting for temporal variat…

physics.geo-ph2020★ 79 cited

The Effect of Declustering on the Size Distribution of Mainshocks

Leila Mizrahi, Shyam Nandan, Stefan Wiemer

Declustering aims to divide earthquake catalogs into independent events (mainshocks), and dependent (clustered) events, and is an integral component of many seismicity studies, inc…

physics.geo-ph2020★ 37 cited

Is seismicity operating at a critical point?

Shyam Nandan, Sumit Kumar Ram, Guy Ouillon +1

Seismicity and faulting within the Earth crust are characterized by many scaling laws that are usually interpreted as qualifying the existence of underlying physical mechanisms ass…

physics.geo-ph2019★ 1 cited

Forecasting the full distribution of earthquake numbers is fair, robust and better

Shyam Nandan, Guy Ouillon, Didier Sornette +1

Forecasting the full distribution of the number of earthquakes is revealed to be inherently superior to forecasting their mean. Forecasting the full distribution of earthquake numb…

physics.geo-ph2019★ 27 cited

Forecasting the rates of future aftershocks of all generations is essential to develop better earthquake forecast models

Shyam Nandan, Guy Ouillon, Didier Sornette +1

Currently, one of the best performing and most popular earthquake forecasting models rely on the working hypothesis that: "locations of past background earthquakes reveal the proba…

physics.geo-ph2019★ 20 cited

Magnitude Of Earthquakes Controls The Size Distribution Of Their Triggered Events

Shyam Nandan, Guy Ouillon, Didier Sornette

The driving concept behind one of the most successful statistical forecasting models, the ETAS model, has been that the seismicity is driven by spontaneously occurring background e…

physics.geo-ph2017★ 67 cited

Objective Estimation of Spatially Variable Parameters of Epidemic Type Aftershock Sequence Model: Application to California

Shyam Nandan, Guy Ouillon, Stefan Wiemer +1

The ETAS model is widely employed to model the spatio-temporal distribution of earthquakes, generally using spatially invariant parameters. We propose an efficient method for the e…

physics.geo-ph2016★ 39 cited

Systematic Assessment of the Static Stress-Triggering Hypothesis using Inter-earthquake Time Statistics

Shyam Nandan, Guy Ouillon, Jochen Woessner +2

A likely source of earthquake clustering is static stress transfer between individual events. Previous attempts to quantify the role of static stress for earthquake triggering gene…