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Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior
The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensio...
La Ode Marzujriban Masfara, Cornelis Weemstra | Journal: Earth and Space Science | Volume: 11 | Year: 2024 | doi: 10.1029/2023EA003184
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Website Autumn school
The central theme of the Autumn School was dealing with and communicating about uncertainties, in...
J Bessembinder, B Overbeek, E Min | Conference: Autumn school | Organisation: KNMI | Place: Bunnik | Year: 2012 | First page: 0 | Last page: 0
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Systematic recovery of instrumental timing and phase errors using interferometric surface-waves retrieved from large-N seismic arrays
Instrumental timing and phase errors are a notorious problem in seismic data acquisition and proc...
Cornelis Weemstra, Janneke I. de Laat, Arie Verdel, Pieter Smets | Journal: Geophysical Journal International | Volume: 224 | Year: 2021 | First page: 1028 | Last page: 1055 | doi: https://doi.org/10.1093/gji/ggaa504
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An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media
We present an efficient probabilistic workflow for the estimation of source parameters of induced...
La Ode Marzujriban Masfara, Thomas Cullison, Cornelis Weemstra | Journal: Solid Earth | Volume: 13 | Year: 2022 | First page: 1309 | Last page: 1325 | doi: https://doi.org/10.5194/se-13-1309-2022
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Shallow crustal imaging using distant, high-magnitude earthquakes
Global phases, viz. seismic phases that travel through the Earth’s core, can be used to locally i...
Johno van IJsseldijk, Elmer Ruigrok, Arie Verdel, Cornelis Weemstra | Journal: Geophysical Journal International | Volume: 219 | Year: 2019 | First page: 1082 | Last page: 1091 | doi: https://doi.org/10.1093/gji/ggz343
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