Gaussian process models—I. A framework for probabilistic continuous inverse theory

We develop a theoretical framework for framing and solving probabilistic linear(ized) inverse problems in function spaces. This is built on the statistical theory of Gaussian Processes, and allows results to be obtained independent of any basis, avoiding any difficulties associated with the fidelity...

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Bibliographic Details

Published in:	Geophysical journal international Vol. 220; no. 3; pp. 1632 - 1647
Main Authors:	Valentine, Andrew P, Sambridge, Malcolm
Format:	Journal Article
Language:	English
Published:	01.03.2020
ISSN:	0956-540X, 1365-246X
Online Access:	Get full text
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