A deep Gaussian Process model for seismicity rates
The spatio-temporal properties of seismicity give us incisive insight into the stress state evolution and fault structures of the crust. Empirical models based on self-exciting point-processes continue to provide an important tool for analyzing seismicity, given the epistemic uncertainty associated...
Hlavní autoři: | Muir, J, Zachary, R |
---|---|
Médium: | Journal article |
Jazyk: | English |
Vydáno: |
Oxford University Press
2023
|
Podobné jednotky
-
Bayesian eikonal tomography using Gaussian processes
Autor: Muir, J
Vydáno: (2023) -
Bayesian eikonal tomography using Gaussian processes
Autor: Jack Muir
Vydáno: (2023-12-01) -
Inter-domain deep Gaussian processes
Autor: Rudner, TGJ, a další
Vydáno: (2020) -
Antenna Optimization Design Based on Deep Gaussian Process Model
Autor: Xin-Yu Zhang, a další
Vydáno: (2020-01-01) -
Seismic Fragility Analysis of Structures Based on Adaptive Gaussian Process Regression Metamodel
Autor: Yanjie Xiao, a další
Vydáno: (2021-01-01)