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Adaptive Approximations and Dimension Reduction for Bayesian Inference in Partial Differential Equations
Bayesian Approaches for Spatial-Stochastic Basis Selection: Applications to Fuel Cell Predictive Modeling
Examples and Observations on Bayesian Inference for Inverse Problems
Optimal low-rank approximations of Bayesian linear inverse problems
Relevant parameter changes in structural break models
Subspace-driven observation selection strategies for linear Bayesian inverse problems
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