Bayesian approaches to geoacoustic inversion

Anna-Liesa S. Lapinski

Abstract


The appropriate number of sediment layers and parameter estimates were determined by using the fast Gibbs sampler (FGS) approach and adaptive simplex simulated annealing (ASSA). An under-parameterized approach was applied to determine the appropriate number of sediment layers needed to represent the seabed. The results showed that the FGS while not as effective as ASSA, provided uncertainty bounds which were crucial for assessing the quality of the final estimate.

Keywords


Inverse problems; Parameter estimation; Probability density function; Sediments; Simulated annealing; Adaptive simplex simulated annealing (ASSA); Fast Gibbs samplers (FGS)

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