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Parallel tempering for strongly nonlinear geoacoustic inversion

Date

Authors

Dosso, S.E.

Holland, Charles W.

Sambridge, Malcolm

Publisher

Acoustical Society of America

Abstract

This paper applies parallel tempering within a Bayesian formulation for strongly nonlinear geoacoustic inverse problems. Bayesian geoacoustic inversion consists of sampling the posterior probability density (PPD) of seabed parameters to estimate integral

Keywords

Keywords: Acoustic reverberations; Bayesian formulation; Geoacoustic inversion; Geoacoustics; Markov chain Monte Carlo; Metropolis-Hastings samplings; Multi-modal; Ocean acoustics; Parallel tempering; Parameter spaces; Parameter uncertainty; Posterior probability;

URI

http://hdl.handle.net/1885/69265

Collections

ANU Research Publications

Source

Journal of the Acoustical Society of America

Type

Journal article

DOI

10.1121/1.4757639