Parallel tempering in trans-dimensional Bayesian geoacoustic inversion for high-information-content data and multi-parameter models
{{output}}
Trans-dimensional (trans-D) Bayesian inversion is a powerful approach to estimate seabed geoacoustic models from ocean-acoustic data, combining quantitative model selection and uncertainty estimation. Trans-D inversion samples probabilistically over the number... ...
