Bayesian Methodologies for PDE Parameter Estimation: Model Problems, Algorithm Development and Applications
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This project involves the development of methodologies to estimate unknown quantities from complex, sparse, and noisy data sets by incorporating first-principles physics into statistical modeling procedures. The approach pairs new inverse problem formulations with novel probabilistic high performance computing methods to resolve crucial…
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