Uncorrected Gaussian residual penalties in full-space sampling converge after marginalization to the graph-lifted reduced posterior multiplied by the inverse absolute determinant of the state Jacobian, requiring explicit determinant corrections for equivalence.
Muzaffer, and Andrew M
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Parametric Bayesian level set approach with radial basis expansion and Metropolis-Hastings sampling reconstructs acoustic sources from multiple frequency data, proving posterior well-posedness and showing competitive numerical results.
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A parametric Bayesian level set approach for acoustic source identification using multiple frequency information
Parametric Bayesian level set approach with radial basis expansion and Metropolis-Hastings sampling reconstructs acoustic sources from multiple frequency data, proving posterior well-posedness and showing competitive numerical results.