A measure-theoretic approach to Bayesian hypothesis testing and inversion with geophysical data

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Abstract/Contents

Abstract
Today, most geophysical hypothesis testing and inverse problems are formulated using conditional probability and Bayes' Theorem. In this dissertation, we argue that measure-theoretic principles provide a more natural alternative to hypothesis testing and inverse problems. First, we present the theory behind this measure-theoretic formulation of inverse problems. We also compare it to the conditional probability and conjunction of information inverse problem formulations. Then, we apply the hypothesis testing formulation to compare a numerical model of river delta sedimentation to laboratory experiments. This comparison quantitatively shows that the numerical delta model cannot capture the experimental channel dynamics. Finally, we apply the inversion formulation to determine the geological origins of a zone of fractured shale bedrock in the Rocky Mountains of Colorado. We invert electrical resistivity tomography data to estimate the dip angle of the fracture zone, which shows that two of the six proposed fracturing mechanisms are inconsistent with the data. Together, the theory and applications developed in this dissertation show that measure-theoretic formulations can help solve larger and more complicated Bayesian inference problems than existing methods.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Miltenberger, Alex
Degree supervisor Mukerji, Tapan, 1965-
Thesis advisor Mukerji, Tapan, 1965-
Thesis advisor Caers, Jef
Thesis advisor Knight, Rosemary (Rosemary Jane), 1953-
Degree committee member Caers, Jef
Degree committee member Knight, Rosemary (Rosemary Jane), 1953-
Associated with Stanford University, Department of Geophysics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Alex M. Miltenberger.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/vs655kw5485

Access conditions

Copyright
© 2022 by Alex Miltenberger
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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