Gradient-based dimension reduction for Bayesian inverse problems and simulation-based inference
Inference is a pervasive task in science and engineering applications. The Bayesian approach to inference facilitates informed decision making by quantifying uncertainty in parameters and predictions, but can be computationally demanding. This thesis focuses on Bayesian methods for inverse problems...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151914 https://orcid.org/0000-0001-7812-9347 |