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dc.contributor.authorGopalan, Giri
dc.contributor.authorHrafnkelsson, Birgir
dc.contributor.authorWikle, Christopher K.
dc.contributor.authorRue, Haavard
dc.contributor.authorAðalgeirsdóttir, Guðfinna
dc.contributor.authorJarosch, Alexander H.
dc.contributor.authorPálsson, Finnur
dc.date.accessioned2019-08-04T13:53:50Z
dc.date.available2019-08-04T13:53:50Z
dc.date.issued2019-06-12
dc.identifier.citationGopalan, G., Hrafnkelsson, B., Wikle, C. K., Rue, H., Aðalgeirsdóttir, G., Jarosch, A. H., & Pálsson, F. (2019). A Hierarchical Spatiotemporal Statistical Model Motivated by Glaciology. Journal of Agricultural, Biological and Environmental Statistics. doi:10.1007/s13253-019-00367-1
dc.identifier.doi10.1007/s13253-019-00367-1
dc.identifier.urihttp://hdl.handle.net/10754/656335
dc.description.abstractIn this paper, we extend and analyze a Bayesian hierarchical spatiotemporal model for physical systems. A novelty is to model the discrepancy between the output of a computer simulator for a physical process and the actual process values with a multivariate random walk. For computational efficiency, linear algebra for bandwidth limited matrices is utilized, and first-order emulator inference allows for the fast emulation of a numerical partial differential equation (PDE) solver. A test scenario from a physical system motivated by glaciology is used to examine the speed and accuracy of the computational methods used, in addition to the viability of modeling assumptions. We conclude by discussing how the model and associated methodology can be applied in other physical contexts besides glaciology.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/s13253-019-00367-1
dc.rightsArchived with thanks to Journal of Agricultural, Biological and Environmental Statistics
dc.subjectModel discrepancy
dc.subjectUncertainty quantification
dc.subjectEmulation
dc.titleA Hierarchical Spatiotemporal Statistical Model Motivated by Glaciology
dc.typeArticle
dc.contributor.departmentStatistics Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalJournal of Agricultural, Biological and Environmental Statistics
dc.rights.embargodate2020-06-12
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Iceland, Reykjavík, Iceland
dc.contributor.institutionUniversity of Missouri, Columbia, USA
dc.contributor.institutionUniversity of Innsbruck, Innsbruck, Austria
kaust.personRue, Haavard
refterms.dateFOA2020-06-12T00:00:00Z


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