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11/08/2022
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
We consider optimal experimental design (OED) for Bayesian nonlinear inv...
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08/20/2021
Joint Estimation of Robin Coefficient and Domain Boundary for the Poisson Problem
We consider the problem of simultaneously inferring the heterogeneous co...
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04/04/2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
Here we consider, in the context of causal inference, the general questi...
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10/10/2018
Incorporating Posterior Model Discrepancy into a Hierarchical Framework to Facilitate Out-of-the-Box MCMC Sampling for Geothermal Inverse Problems and Uncertainty Quantificatio
We consider geothermal inverse problems and uncertainty quantification f...
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01/11/2018