Inverse problems with non-trivial priors: efficient solution through sequential Gibbs sampling TM Hansen, KS Cordua, K Mosegaard Computational Geosciences 16, 593-611, 2012 | 154 | 2012 |
Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information KS Cordua, TM Hansen, K Mosegaard Geophysics 77 (2), H19-H31, 2012 | 113 | 2012 |
SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information : Part 1—Methodology KM Thomas Mejer Hansen, Knud Skou Cordua, Majken Computers & Geosciences 52, 470-480, 2013 | 96* | 2013 |
Accounting for imperfect forward modeling in geophysical inverse problems—exemplified for crosshole tomography TM Hansen, KS Cordua, BH Jacobsen, K Mosegaard Geophysics 79 (3), H1-H21, 2014 | 91 | 2014 |
Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—Applied to GPR crosshole traveltime inversion TM Hansen, KS Cordua Geophysical Journal International 211 (3), 1524-1533, 2017 | 69 | 2017 |
Using geostatistics to describe complex a priori information for inverse problems TM Hansen, K Mosegaard, KS Cordua 8th international geostatistics congress, 329-338, 2008 | 44 | 2008 |
Multiple point statistical simulation using uncertain (soft) conditional data TM Hansen, K Mosegaard, KS Cordua Computers & geosciences 114, 1-10, 2018 | 38 | 2018 |
A frequency matching method: solving inverse problems by use of geologically realistic prior information K Lange, J Frydendall, KS Cordua, TM Hansen, Y Melnikova, ... Mathematical geosciences 44, 783-803, 2012 | 38 | 2012 |
Probabilistic integration of geo‐information TM Hansen, KS Cordua, A Zunino, K Mosegaard Integrated imaging of the earth: Theory and applications, 93-116, 2016 | 35 | 2016 |
Quantifying the influence of static-like errors in least-squares-based inversion and sequential simulation of cross-borehole ground penetrating radar data KS Cordua, L Nielsen, MC Looms, TM Hansen, A Binley Journal of Applied Geophysics 68 (1), 71-84, 2009 | 29 | 2009 |
Accounting for correlated data errors during inversion of cross‐borehole ground penetrating radar data KS Cordua, MC Looms, L Nielsen Vadose Zone Journal 7 (1), 263-271, 2008 | 28 | 2008 |
Estimation of chalk heterogeneity from stochastic modeling conditioned by crosshole GPR traveltimes and log data L Nielsen, MC Looms, TM Hansen, KS Cordua, L Stemmerik | 24 | 2010 |
Geostatistical inference using crosshole ground-penetrating radar MC Looms, TM Hansen, KS Cordua, L Nielsen, KH Jensen, A Binley Geophysics 75 (6), J29-J41, 2010 | 22 | 2010 |
History matching through a smooth formulation of multiple-point statistics Y Melnikova, A Zunino, K Lange, KS Cordua, K Mosegaard Mathematical Geosciences 47, 397-416, 2015 | 17 | 2015 |
Improving the pattern reproducibility of multiple-point-based prior models using frequency matching KS Cordua, TM Hansen, K Mosegaard Mathematical Geosciences 47, 317-343, 2015 | 13 | 2015 |
Mixed‐point geostatistical simulation: a combination of two‐and multiple‐point geostatistics KS Cordua, TM Hansen, ML Gulbrandsen, C Barnes, K Mosegaard Geophysical Research Letters 43 (17), 9030-9037, 2016 | 12 | 2016 |
Smart Interpretation–automatic geological interpretations based on supervised statistical models ML Gulbrandsen, KS Cordua, T Bach, TM Hansen Computational Geosciences 21, 427-440, 2017 | 10 | 2017 |
Monte Carlo fullwaveform inversion of crosshole GPR data using multiple-point geostatistical a priori information, Gwophysics, 77, H19–H31 KS Cordua, TM Hansen, K Mosegaard H19–H31, 16, 2012 | 8 | 2012 |
Localized Smart Interpretation-a data driven semi-automatic geological modelling method. ML Gulbrandsen, T Bach, KS Cordua, TM Hansen ASEG Extended Abstracts 2015 (1), 1-4, 2015 | 7 | 2015 |
Reducing complexity of inverse problems using geostatistical priors TM Hansen, K Mosegaard, KS Cordua International association of Mathematical geoscience (IAMG 09), 2009 | 7 | 2009 |