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Found 2 papers, 1 papers with code
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations
This work is concerned with the use of Gaussian surrogate models for Bayesian inverse problems associated with linear partial differential equations.
Posterior Consistency for Gaussian Process Approximations of Bayesian Posterior Distributions
We prove error bounds on the Hellinger distance between the true posterior distribution and various approximations based on the Gaussian process emulator.
Numerical Analysis
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