57 citations · 96 across the 6 of their papers we have counts for
6 papers
Inconsistency and Acausality of Model Selection in Bayesian Inverse Problems
Klaus Mosegaard
Bayesian inference paradigms are regarded as powerful tools for solution of inverse problems. However, when applied to inverse problems in physical sciences, Bayesian formulations…
Evolution of the Stress and Strain field in the Tyra field during the Post-Chalk Deposition and Seismic Inversion of fault zone using Informed-Proposal Monte Carlo
Sarouyeh Khoshkholgh, Ivanka Orozova-Bekkevold, Klaus Mosegaard
When hydrocarbon reservoirs are used as a CO2 storage facility, an accurate uncertainty analysis and risk assessment is essential. An integration of information from geological kno…
Informed Proposal Monte Carlo
Sarouyeh Khoshkholgh, Andrea Zunino, Klaus Mosegaard
Any search or sampling algorithm for solution of inverse problems needs guidance to be efficient. Many algorithms collect and apply information about the problem on the fly, and mu…
Moving Target Monte Carlo
Haoyun Ying, Keheng Mao, Klaus Mosegaard
The Markov Chain Monte Carlo (MCMC) methods are popular when considering sampling from a high-dimensional random variable with possibly unnormalised probability densit…
Interior characterization in multiplanetary systems: TRAPPIST-1
Caroline Dorn, Klaus Mosegaard, Simon L Grimm +1
Interior characterization traditionally relies on individual planetary properties, ignoring correlations between different planets of the same system. For multi-planetary systems,…
Mathematical Basis for Physical Inference
Albert Tarantola, Klaus Mosegaard
While the axiomatic introduction of a probability distribution over a space is common, its use for making predictions, using physical theories and prior knowledge, suffers from a l…