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Model selection and Bayesian inference for high resolution seabed reflection inversion

Dettmer, Jan; Dosso, S.E.; Holland, Charles W.


This paper applies Bayesian inference, including model selection and posterior parameter inference, to inversion of seabed reflection data to resolve sediment structure at a spatial scale below the pulse length of the acoustic source. A practical approach to model selection is used, employing the Bayesian information criterion to decide on the number of sediment layers needed to sufficiently fit the data while satisfying parsimony to avoid overparametrization. Posterior parameter inference is...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: Journal of the Acoustical Society of America
DOI: 10.1121/1.3056553


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