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
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
Constraint residuals, graph posteriors, and determinant-corrected full-space targets in Bayesian inverse problems
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.
-
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.