Uncertainty quantification for regularized inversion of electromagnetic geophysical data—Part I: motivation and theory

SUMMARY We present a method for computing a meaningful uncertainty quantification (UQ) for regularized inversion of electromagnetic (EM) geophysical data that combines the machineries of regularized inversion and Bayesian sampling with a ‘randomize-then-optimize’ (RTO) approach. The RTO procedure is...

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Bibliographic Details

Published in:	Geophysical journal international Vol. 231; no. 2; pp. 1057 - 1074
Main Authors:	Blatter, Daniel, Morzfeld, Matthias, Key, Kerry, Constable, Steven
Format:	Journal Article
Language:	English
Published:	Oxford University Press 25.07.2022
Subjects:	Inversion Statistical methods Electromagnetic methods Electrical resistivity Inverse theory
ISSN:	0956-540X, 1365-246X
Online Access:	Get full text
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