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Publication | Type | Year |
---|---|---|
Calibration and Propagation of Model Discrepancy Across ExperimentsSIAM Conference on Uncertainty Quantification
|
Abstract – 2017 Abstract | 2017 |
Adaptive Point Selection for Global Vs. Local Surrogate ModelsSIAM 2018 Uncertainty Quantification Conference
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Abstract – 2017 Abstract | 2017 |
Model Error and Model Selection: Bayesian approachesSIAM Conference on Uncertainty Quantification
|
Abstract – 2017 Abstract | 2017 |
Model Discrepancy Calibration Across Experiments14th US National Congress on Computational Mechanics |
Conference Paper – 2017 Conference Paper | 2017 |
Validation MetricsWorkshop on Multi-Physics Model Validation |
Conference Paper – 2017 Conference Paper | 2017 |
DAKOTA Update: Capabilities & ApplicationsCASL VVI Workshop |
Presentation (non-conference) – 2017 Presentation (non-conference) | 2017 |
Adaptive Selection and Validation of Models of Complex Systems in the Presence of UncertaintiesResearch in the Mathematical Sciences |
Journal Article – 2017 Journal Article | 2017 |
Model Discrepancy Formulations in DakotaSIAM Conference on Computational Science and Engineering
|
Abstract – 2017 Abstract | 2017 |
Model Discrepancy Calibration Across Experiments14th US National Congress on Computational Mechanics
|
Abstract – 2017 Abstract | 2017 |
Model Discrepancy in DakotaSIAM Conference on Computational Science, Engineering and Mathematics |
Conference Paper – 2017 Conference Paper | 2017 |
Validation Metrics for Deterministic and Probabilistic Data |
SAND Report – 2017 SAND Report | 2017 |
Model Selection Under Uncertainty: Coarse-Graining Atomistic ModelsSociety for Industrial and Applied Mathematics, Uncertainty Quantification |
Conference Paper – 2016 Conference Paper | 2016 |
Document Title | Type | Year |
Results 51–62 of 62