Results 11 to 20 of about 800 (115)
On Bayesian scatterometer wind inversion [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2006 In a quest for a generic unbiased scatterometer wind inversion method, the different inversion procedures currently in use are revisited in this paper. A careful examination of both the errors in the wind and in the measurement domain, combined with the nonlinear shape of the geophysical model function (GMF), leads to a generic and novel Bayesian wind ...
Ad Stoffelen, Marcos Portabella
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Fast Bayesian inversion for high dimensional inverse problems
Statistics and Computing, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kugler, Benoit +2 more
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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 codes that are now widely applied to spectro-polarimetric observations.
Asensio-Ramos, Andrés +2 more
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Approximation of Bayesian Inverse Problems for PDEs [PDF]
SIAM Journal on Numerical Analysis, 2010 Inverse problems are often ill-posed, with solutions that depend sensitively on data. In any numerical approach to the solution of such problems, regularization of some form is needed to counteract the resulting instability. This paper is based on an approach to regularization, employing a Bayesian formulation of the problem, which leads to a notion of
S. L. Cotter +2 more
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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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The Bayesian Approach to Inverse Problems [PDF]
, 2015 These lecture notes highlight the mathematical and computational structure relating to the formulation of, and development of algorithms for, the Bayesian approach to inverse problems in differential equations. This approach is fundamental in the quantification of uncertainty within applications involving the blending of mathematical models with data.
Dashti, Masoumeh, Stuart, Andrew M.
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Generalized Modes in Bayesian Inverse Problems [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 Uncertainty quantification requires efficient summarization of high- or even infinite-dimensional (i.e., non-parametric) distributions based on, e.g., suitable point estimates (modes) for posterior distributions arising from model-specific prior distributions. In this work, we consider non-parametric modes and MAP estimates for priors that do not admit
Christian Clason +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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Bayesian spatiotemporal modeling for inverse problems
Statistics and Computing, 2023 38 pages, 23 ...
Shiwei Lan, Shuyi Li, Mirjeta Pasha
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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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