Klaus Mosegaard
Professor
ORCID: 0000-0001-5292-5249
1 - 3 out of 3Page size: 10
- 2019
- Published
An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions
Zunino, A. & Mosegaard, Klaus, 1 Jan 2019, In: Computers and Geosciences. 122, p. 77-86Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Efficient Monte Carlo Uncertainty Quantification through Problem-dependent Proposals
Mosegaard, Klaus, 2019, 81st EAGE Conference and Exhibition 2019 Workshop Programme. EAGE Publishing BV, (81st EAGE Conference and Exhibition 2019 Workshop Programme).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging
Fernandes, Iris & Mosegaard, Klaus, 2019.Research output: Contribution to conference › Paper › Research › peer-review
ID: 105380906
Most downloads
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810
downloads
A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information
Research output: Contribution to journal › Journal article › Research › peer-review
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767
downloads
A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
425
downloads
Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information
Research output: Contribution to journal › Journal article › Research › peer-review