Skip navigation
Skip navigation

Bayesian evidence computation for model selection in non-linear geoacoustic inference problems

Dettmer, Jan; Dosso, S.E.; Osler, John C.


This paper applies a general Bayesian inference approach, based on Bayesian evidence computation, to geoacoustic inversion of interface-wave dispersion data. Quantitative model selection is carried out by computing the evidence (normalizing constants) for several model parameterizations using annealed importance sampling. The resulting posterior probability density estimate is compared to estimates obtained from Metropolis-Hastings sampling to ensure consistent results. The approach is applied...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Journal of the Acoustical Society of America
DOI: 10.1121/1.3506345


File Description SizeFormat Image
01_Dettmer_Bayesian_evidence_computation_2010.pdf2.19 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator