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Mejer Hansen, Thomas, Skou Cordua, Knud, Caroline Looms, Majken, Mosegaard, Klaus (2013) SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information. Computers & Geosciences, 52. 470-480 doi:10.1016/j.cageo.2012.09.004

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Reference TypeJournal (article/letter/editorial)
TitleSIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information
JournalComputers & Geosciences
AuthorsMejer Hansen, ThomasAuthor
Skou Cordua, KnudAuthor
Caroline Looms, MajkenAuthor
Mosegaard, KlausAuthor
Year2013 (March)Volume52
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2012.09.004Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID453227Long-form Identifiermindat:1:5:453227:3
GUID0
Full ReferenceMejer Hansen, Thomas, Skou Cordua, Knud, Caroline Looms, Majken, Mosegaard, Klaus (2013) SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information. Computers & Geosciences, 52. 470-480 doi:10.1016/j.cageo.2012.09.004
Plain TextMejer Hansen, Thomas, Skou Cordua, Knud, Caroline Looms, Majken, Mosegaard, Klaus (2013) SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information. Computers & Geosciences, 52. 470-480 doi:10.1016/j.cageo.2012.09.004
In(2013) Computers & Geosciences Vol. 52. Elsevier BV

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Hansen, Thomas Mejer, Cordua, Knud Skou, Looms, Majken Caroline, Mosegaard, Klaus (2013) SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information. Computers & Geosciences, 52. 481-492 doi:10.1016/j.cageo.2012.10.001
Hansen, Thomas Mejer, Cordua, Knud Skou, Mosegaard, Klaus (2012) Inverse problems with non-trivial priors: efficient solution through sequential Gibbs sampling. Computational Geosciences, 16. 593-611 doi:10.1007/s10596-011-9271-1
Hansen, Thomas Mejer, Vu, Le Thanh, Mosegaard, Klaus, Cordua, Knud Skou (2018) Multiple point statistical simulation using uncertain (soft) conditional data. Computers & Geosciences, 114. 1-10 doi:10.1016/j.cageo.2018.01.017
Lange, Katrine, Frydendall, Jan, Cordua, Knud Skou, Hansen, Thomas Mejer, Melnikova, Yulia, Mosegaard, Klaus (2012) A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information. Mathematical Geosciences, 44 (7). 783-803 doi:10.1007/s11004-012-9417-2
Hansen, Thomas Mejer, Cordua, Knud Skou, Jacobsen, Bo Holm, Mosegaard, Klaus (2014) Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography. Geophysics, 79 (3) doi:10.1190/geo2013-0215.1
Hansen, Thomas Mejer, Mosegaard, Klaus (2008) VISIM: Sequential simulation for linear inverse problems. Computers & Geosciences, 34 (1) 53-76 doi:10.1016/j.cageo.2007.02.003
Cordua, Knud Skou, Hansen, Thomas Mejer, Mosegaard, Klaus (2015) Improving the Pattern Reproducibility of Multiple-Point-Based Prior Models Using Frequency Matching. Mathematical Geosciences, 47 (3). 317-343 doi:10.1007/s11004-014-9531-4
Cordua, Knud Skou, Hansen, Thomas Mejer, Mosegaard, Klaus (2012) Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information. Geophysics, 77 (2) doi:10.1190/geo2011-0170.1
Hansen, Thomas Mejer, Cordua, Knud Skou, Mosegaard, Klaus (2015) A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support. Mathematical Geosciences, 47 (7). 843-865 doi:10.1007/s11004-014-9567-5
Cordua, Knud Skou, Hansen, Thomas Mejer, Gulbrandsen, Mats Lundh, Barnes, Christophe, Mosegaard, Klaus (2016) Mixed-point geostatistical simulation: A combination of two- and multiple-point geostatistics. Geophysical Research Letters, 43 (17) 9030-9037 doi:10.1002/2016gl070348
Otzen, Mikkel, Finlay, Christopher C., Hansen, Thomas Mejer (2022) Direct Sequential Simulation for spherical linear inverse problems. Computers & Geosciences, 160. 105026 doi:10.1016/j.cageo.2021.105026
 
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