Klaus Mosegaard
Professor
Accurate Inversion Based on Approximate Models
Mosegaard, Klaus (Invited speaker)
Aug 2022Activity: Talk or presentation types › Lecture and oral contribution
Bayesian Inversion Paradigms and The Principle of Covariance
Mosegaard, Klaus (Invited speaker)
Sep 2023Activity: 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
Facing the Curse of Dimensionality
Mosegaard, Klaus (Invited speaker)
21 Mar 2023Activity: Talk or presentation types › Lecture and oral contribution
Geophysical inversion: When and why are random algorithms the right choice?
Mosegaard, Klaus (Invited speaker)
22 Sep 2017Activity: Talk or presentation types › Lecture and oral contribution
Inconsistency and violation of causality in Bayesian inversion paradigms
Mosegaard, Klaus (Panel member)
Apr 2023Activity: 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
Large-scale Inverse Problems and Informed-Proposal Monte Carlo: Presentation
Mosegaard, Klaus (Invited speaker)
Mar 2022Activity: 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
ID: 105380906
Most downloads
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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 › peer-review
Published -
761
downloads
A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information
Research output: Contribution to journal › Journal article › peer-review
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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 › peer-review