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dc.contributor.authorLitvinenko, Alexander
dc.date.accessioned2018-04-22T06:58:37Z
dc.date.available2018-04-22T06:58:37Z
dc.date.issued2018-04-20
dc.identifier.urihttp://hdl.handle.net/10754/627581
dc.description.abstractParallel H-matrices in spatial statistics 1. Motivation: improve statistical model 2. Tools: Hierarchical matrices [Hackbusch 1999] 3. Matern covariance function and joint Gaussian likelihood 4. Identification of unknown parameters via maximizing Gaussian log-likelihood 5. Implementation with HLIBPro
dc.description.sponsorshipKAUST
dc.subjectMatern covariance
dc.subjectHLIBPro
dc.subjectParallel H-matrices
dc.subjectParameter identification
dc.titleApplication of Parallel Hierarchical Matrices in Spatial Statistics and Parameter Identification
dc.typePresentation
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date15-20 April 2018
dc.conference.nameSIAM UQ Conference
dc.conference.locationOrange County, CA, USA
refterms.dateFOA2018-06-14T05:55:07Z


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