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Joint multizonal transdimensional Bayesian inversion of surface wave dispersion and ellipticity curves for local near-surface imaging

open access: yes, 2021
Physical properties of near-surface soil and rock layers play a fundamental role in the seismic site effects analysis, being an essential element of seismic hazard assessment. Site-specific mechanical properties (i.e.
M. Halló   +3 more
semanticscholar   +1 more source

Fast Gibbs sampling for high-dimensional Bayesian inversion [PDF]

open access: yes, 2016
Solving ill-posed inverse problems by Bayesian inference has recently attracted considerable attention. Compared to deterministic approaches, the probabilistic representation of the solution by the posterior distribution can be exploited to explore and ...
Burger M   +15 more
core   +2 more sources

Bayesian inversion of the Martian structure using geodynamic constraints

open access: yes, 2021
The ongoing InSight mission has recently deployed very broad band seismometers to record the Martian seismic activity. These recordings constitute the first seismic data set collected at the surface of Mars.
M. Drilleau   +4 more
semanticscholar   +1 more source

Bayesian Rotation Inversion of KIC 11145123 [PDF]

open access: yesThe Astrophysical Journal, 2022
Abstract A scheme of Bayesian rotation inversion, which allows us to compute the probability of a model of a stellar rotational profile, is developed. The validation of the scheme with simple rotational profiles and the corresponding sets of artificially generated rotational shifts has been successfully carried out, and we can correctly ...
Yoshiki Hatta   +3 more
openaire   +2 more sources

Highly efficient Bayesian joint inversion for receiver-based data and its application to lithospheric structure beneath the southern Korean Peninsula [PDF]

open access: yes, 2016
With the deployment of extensive seismic arrays, systematic and efficient parameter and uncertainty estimation is of increasing importance and can provide reliable, regional models for crustal and upper-mantle structure.We present an efficient Bayesian ...
Dettmer, Jan   +3 more
core   +1 more source

3D Bayesian Variational Full-Waveform Inversion

open access: yesGeophysical Journal International, 2023
Seismic full-waveform inversion (FWI) produces high resolution images of the subsurface by exploiting information in full acoustic, seismic or electromagnetic waveforms, and has been applied at global, regional and industrial spatial scales. FWI inverse problems are traditionally solved by using optimization, in which one seeks a best model by ...
Xin Zhang   +4 more
openaire   +3 more sources

Parallelized Adaptive Importance Sampling for Solving Inverse Problems

open access: yesFrontiers in Earth Science, 2018
In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli   +2 more
doaj   +1 more source

Bayesian Posterior Contraction Rates for Linear Severely Ill-posed Inverse Problems [PDF]

open access: yes, 2013
We consider a class of linear ill-posed inverse problems arising from inversion of a compact operator with singular values which decay exponentially to zero. We adopt a Bayesian approach, assuming a Gaussian prior on the unknown function.
Agapiou, Sergios   +2 more
core   +3 more sources

Trans-dimensional inversion of modal dispersion data on the New England Mud Patch [PDF]

open access: yes, 2019
© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Bonnel, J., Dosso, S. E., Eleftherakis, D., & Chapman, N. R.
Bonnel, Julien   +3 more
core   +2 more sources

A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion

open access: yesGeosciences, 2023
The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition ...
Daniele Sampietro, Martina Capponi
doaj   +1 more source

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