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Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

dc.date.accessioned2017-11-25T07:19:59Z
dc.date.available2017-11-25T07:19:59Z
dc.date.issued2016
dc.identifier.issn2377-2158
dc.identifier.othervvuq_001_01_011004.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236139
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleIntegrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem
dc.typeJournal Paper
dc.journal.volume1
dc.journal.issue1
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4031983
dc.journal.fristpage11004
dc.journal.lastpage11004
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 001
dc.contenttypeFulltext


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