Klaus Mosegaard
Professor
- 2019
Monte Carlo Methods with Problem-dependent Proposals
Mosegaard, Klaus (Invited speaker)
Sep 2019Activity: Talk or presentation types › Lecture and oral contribution
The (in)significance of the number of unknowns in an inverse problem
Mosegaard, Klaus (Invited speaker)
Aug 2019Activity: Talk or presentation types › Lecture and oral contribution
Large-scale Inverse Problems in a Probabilistic Formulation
Mosegaard, Klaus (Invited speaker)
Jul 2019Activity: Talk or presentation types › Lecture and oral contribution
Efficient Monte Carlo Uncertainty Quantification Through Problem-dependent Proposals
Mosegaard, Klaus (Invited speaker)
Jun 2019Activity: Talk or presentation types › Lecture and oral contribution
Machine Learning and Modeling in Geoscience, GEUS
Mosegaard, Klaus (Invited speaker)
Jun 2019Activity: Talk or presentation types › Lecture and oral contribution
- 2018
Uncertainty Quantification in highly non-linear, multi-parameter inverse problems
Mosegaard, Klaus (Invited speaker)
Dec 2018Activity: Talk or presentation types › Lecture and oral contribution
Inverse Problems with Sparse Data - A Challenge in the Exploration of Earth and Space
Mosegaard, Klaus (Invited speaker)
Sep 2018Activity: Talk or presentation types › Lecture and oral contribution
Inverse Problems: Search for Information
Mosegaard, Klaus (Invited speaker)
Jun 2018Activity: Talk or presentation types › Lecture and oral contribution
Solving large-scale computational problems in geoscience
Mosegaard, Klaus (Invited speaker)
Jun 2018Activity: Talk or presentation types › Lecture and oral contribution
- 2017
Theory and practice of probabilistic inversion
Mosegaard, Klaus (Invited speaker)
4 Oct 2017Activity: Talk or presentation types › Lecture and oral contribution
ID: 105380906
Most downloads
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768
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