Results 11 to 20 of about 70,196 (284)
Bayesian Inversion of Stokes Profiles [PDF]
Astronomy & Astrophysics, 2007 [abridged] Inversion techniques are the most powerful methods to obtain information about the thermodynamical and magnetic properties of solar and stellar atmospheres. In the last years, we have witnessed the development of highly sophisticated inversion
A. Asensio Ramos +49 more
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Bayesian inference for inverse problems [PDF]
AIP Conference Proceedings, 2001 Traditionally, the MaxEnt workshops start by a tutorial day. This paper summarizes my talk during 2001'th workshop at John Hopkins University. The main idea in this talk is to show how the Bayesian inference can naturally give us all the necessary tools ...
Mohammad-Djafari, Ali
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, 2021 We consider linear, mildly ill-posed inverse problems in separable Hilbert spaces under Gaussian noise, whose covariance operator is not identity (i.e. it is not a white noise problem), and use the Bayesian approach to nd their regularised solution. Speci cally, our goal is to regularise the prior in such a way that the posterior distribution achieves
Juan Chiachío-Ruano +2 more
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Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data
SN Applied Sciences, 2022 Article Highlights 1. We propose a Bayesian MCMC procedure for surface-based TEM data inversion and apply it successfully both in synthetic data and field data. 2.
Shengqiang Deng +4 more
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gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective
Infrastructures, 2021 In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs.
Filippo Landi +3 more
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Seismica, 2022 Geodynamic tomography, an imaging technique that incorporates constraints from geodynamics and mineral physics to restrict the potential number of candidate seismic models down to a subset consistent with geodynamic predictions, is applied to a thermal ...
John Keith Magali, Thomas Bodin
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Greenhouse gas observation network design for Africa
Tellus: Series B, Chemical and Physical Meteorology, 2020 An optimal network design was carried out to prioritise the installation or refurbishment of greenhouse gas (GHG) monitoring stations around Africa. The network was optimised to reduce the uncertainty in emissions across three of the most important GHGs:
Alecia Nickless +11 more
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Structural Gaussian priors for Bayesian CT reconstruction of subsea pipes
Applied Mathematics in Science and Engineering, 2023 A non-destructive testing (NDT) application of X-ray computed tomography (CT) is inspection of subsea pipes in operation via 2D cross-sectional scans. Data acquisition is time-consuming and costly due to the challenging subsea environment. While reducing
Silja L. Christensen +3 more
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Comparison of deterministic and stochastic approaches to crosshole seismic travel-time inversions
Earth and Planetary Physics, 2019 The Bayesian inversion method is a stochastic approach based on the Bayesian theory. With the development of sampling algorithms and computer technologies, the Bayesian inversion method has been widely used in geophysical inversion problems.
YanZhe Zhao, YanBin Wang
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Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors [PDF]
, 2012 Sparsity has become a key concept for solving of high-dimensional inverse problems using variational regularization techniques. Recently, using similar sparsity-constraints in the Bayesian framework for inverse problems by encoding them in the prior ...
Lucka, Felix
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