Probabilistic Approach to Inverse Problems

@article{Mosegaard2002ProbabilisticAT,
  title={Probabilistic Approach to Inverse Problems},
  author={Klaus Mosegaard and Albert Tarantola},
  journal={International Geophysics},
  year={2002},
  volume={81},
  pages={237-265}
}
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223 Citations
Highly Influential Citations
14
Background Citations
73
Methods Citations
64
Results Citations
1

223 Citations

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In this study, the relationship between nonlinear model properties and inverse problem solutions is analyzed using a numerical technique based on the inverse problem theory formulated by Mosegaard…
SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 1 - Methodology
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Multiple Scenario Generation of Subsurface Models: Consistent Integration of Information from Geophysical and Geological Data throuh Combination of Probabilistic Inverse Problem Theory and Geostatistics
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1 Uncertainty Quantification in Inverse Problems : Model-Based versus Prediction-Focused Inversion
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A review of Markov Chain Monte Carlo and information theory tools for inverse problems in subsurface flow
Parameter identification is one of the key elements in the construction of models in geosciences. However, inherent difficulties such as the instability of ill-posed problems or the presence of…
Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography
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For a specific forward problem, computation of crosshole tomographic first-arrival traveltimes, it is evaluated how the modeling error, given several different approximate forward models, can be more than an order of magnitude larger than the measurement uncertainty.
An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions
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