A supervised machine learning approach for estimating plate interface locking: Application to Central Chile-Reference-Cited by-同舟云学术

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A supervised machine learning approach for estimating plate interface locking: Application to Central Chile

Published:2024-07 Issue: Volume:352 Page:107207
ISSN:0031-9201
Container-title:Physics of the Earth and Planetary Interiors
language:en
Short-container-title:Physics of the Earth and Planetary Interiors

Author:

Barra Sebastián,Moreno Marcos,Ortega-Culaciati Francisco,Benavente Roberto,Araya Rodolfo,Bedford Jonathan,Calisto Ignacia

Publisher

Elsevier BV

Reference64 articles.

1. A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation;Aagaard;J. Geophys. Res. Solid Earth,2013

2. Likelihood and the Bayes procedure;Akaike;Trabajos de Estadistica Y de Investigacion Operativa,1980

3. Space-geodetic estimation of the Nazca-South America euler vector;Angermann;Earth Planet. Sci. Lett.,1999

4. Parameter Estimation and Inverse Problems;Aster,2013

5. Plate-locking, uncertainty estimation and spatial correlations revealed with a bayesian model selection method: application to the Central Chile subduction zone;Becerra-Carreño;J. Geophys. Res. Solid Earth,2022

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