Fast Update of Conditional Simulation Ensembles
Fast Update of Conditional Simulation Ensembles
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Gaussian random field (GRF) conditional simulation is a key ingredient in many spatial statistics problems for computing Monte-Carlo estimators and quantifying uncertainties on non-linear functionals of GRFs conditional on data. Conditional simulations are known to often be computer intensive, especially when appealing to matrix decomposition appro...
Alternative Titles
Full title
Fast Update of Conditional Simulation Ensembles
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_1744684787
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1744684787
Other Identifiers
ISSN
1874-8961
E-ISSN
1874-8953
DOI
10.1007/s11004-014-9573-7
