28 results on '"Mullins, Joshua"'
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2. Calibration of multi-physics computational models using Bayesian networks
3. A Perspective on the Integration of Verification and Validation into the Decision Making Process
4. Separation of aleatory and epistemic uncertainty in probabilistic model validation
5. Optimal Selection of Calibration and Validation Test Samples Under Uncertainty
6. Confidence in the Prediction of Unmeasured System Output Using Roll-Up Methodology
7. Model Form Error Correction in Computational Simulations.
8. Variable-fidelity model selection for stochastic simulation
9. Selection of model discrepancy priors in Bayesian calibration
10. A Comparison of Methods for Representing and Aggregating Uncertainties Involving Sparsely Sampled Random Variables - More Results
11. Review of V&V Documentation
12. A Perspective on the Integration of Verification and Validation into the Decision Making Process
13. Probabilistic integration of validation and calibration results for prediction level uncertainty quantification
14. Optimal Selection of Calibration and Validation Test Samples Under Uncertainty
15. Extracting Low-Dimensional Features From Field Data for Calibration.
16. ROBUST IMPORTANCE SAMPLING FOR BAYESIAN MODEL CALIBRATION WITH SPATIOTEMPORAL DATA
17. A comparison of methods for representing sparsely sampled random quantities.
18. Smallpox in Virginia
19. Optimal Test Selection for Prediction Uncertainty Reduction
20. Summary of the 2014 Sandia Verification and Validation Challenge Workshop
21. Bayesian Uncertainty Integration for Model Calibration, Validation, and Prediction
22. Options for the inclusion of model discrepancy in Bayesian calibration
23. Computational Effort vs. Accuracy Tradeoff in Uncertainty Quantification
24. A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables - Final Results
25. Uncertainty Quantification Using Multi-Level Calibration and Validation Data
26. Exploring Model Form Uncertainty Approaches with a Burgers' Equation Example.
27. A Perspective on the Integration of Verification and Validation into the Decision Making Process.
28. A comparison of methods for representing sparsely sampled random quantities.
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