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 integra
This paper develops a trans-dimensional approach to matched-field geoacoustic inversion, including i...
The goal of geophysical inversion is to make quantitative inferences about the Earth from remote obs...
In geophysical inversion the model parameterisation, the number of unknown the level of smoothing a...
Geoacoustic inversion of shallow water transmission loss (TL) measurements can be a more convenient ...
This paper develops a general trans-dimensional Bayesian methodology for geoacoustic inversion. Tran...
This paper describes a Bayesian approach to matched-field inversion (MFI) of ocean acoustic data for...
This paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection...
Bayesian inversion is applied to estimate the joint posterior probability density (PPD) of geoacoust...
Non-linear inverse problems in the geosciences often involve probabilistic sampling of multimodal de...
This paper applies Bayesian inference, including model selection and posterior parameter inference, ...
This paper develops a sequential trans-dimensional Monte Carlo algorithm for geoacoustic inversion i...
WOSInternational audienceThis paper presents geoacoustic inversion of a light bulb implosion recorde...
The Bayesian formulation for inverse problems gives a way of making inferences about unknown quantit...
International audienceIn shallow water (~100 m), low frequency (f<250 Hz) sound propagation is dispe...
This paper examines joint inversion of acoustic scattering and reflection data to resolve seabed int...
This paper develops a trans-dimensional approach to matched-field geoacoustic inversion, including i...
The goal of geophysical inversion is to make quantitative inferences about the Earth from remote obs...
In geophysical inversion the model parameterisation, the number of unknown the level of smoothing a...
Geoacoustic inversion of shallow water transmission loss (TL) measurements can be a more convenient ...
This paper develops a general trans-dimensional Bayesian methodology for geoacoustic inversion. Tran...
This paper describes a Bayesian approach to matched-field inversion (MFI) of ocean acoustic data for...
This paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection...
Bayesian inversion is applied to estimate the joint posterior probability density (PPD) of geoacoust...
Non-linear inverse problems in the geosciences often involve probabilistic sampling of multimodal de...
This paper applies Bayesian inference, including model selection and posterior parameter inference, ...
This paper develops a sequential trans-dimensional Monte Carlo algorithm for geoacoustic inversion i...
WOSInternational audienceThis paper presents geoacoustic inversion of a light bulb implosion recorde...
The Bayesian formulation for inverse problems gives a way of making inferences about unknown quantit...
International audienceIn shallow water (~100 m), low frequency (f<250 Hz) sound propagation is dispe...
This paper examines joint inversion of acoustic scattering and reflection data to resolve seabed int...
This paper develops a trans-dimensional approach to matched-field geoacoustic inversion, including i...
The goal of geophysical inversion is to make quantitative inferences about the Earth from remote obs...
In geophysical inversion the model parameterisation, the number of unknown the level of smoothing a...