Effective parameter dimension via Bayesian model selection in the inverse acoustic scattering problem

DOI10.1155/2014/427203zbMath1407.62448OpenAlexW1989147384WikidataQ59067078 ScholiaQ59067078MaRDI QIDQ1718363

Abel Palafox, Marcos A. Capistrán, J. Andres Christen

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/427203

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to physics (62P35)

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Cites Work

• Inverse acoustic and electromagnetic scattering theory.
• Statistical and computational inverse problems.
• Monte Carlo methods in Bayesian computation
• Large‐Scale Inverse Problems and Quantification of Uncertainty
• Sparsity-promoting Bayesian inversion
• Numerical Methods in Scientific Computing, Volume I
• On Tikhonov regularization with non-convex sparsity constraints
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Inverse Problem Theory and Methods for Model Parameter Estimation
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