Bayesian Uncertainty Quantification of Physical Model in Thermal-Hydraulics System CodeΒΆ
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- Quantifying Uncertainty of Computer Model: Forward and Backward
- Reflood
- Sensitivity Analysis: Understanding Model Input/Output Relationship under Uncertainty
- Gaussian Process Metamodeling: Emulating Code Input/Output for Faster Evaluation
- Bayesian Calibration of Computer Model: Connecting Uncertain Model and Uncertain Data
- Statistical Formulation of Model Calibration Problem
- Model Discrepancy and Its Modeling
- Modular Bayesian Approach
- Posterior Distribution Approximation: Markov Chain Monte Carlo Simulation
- Identifiability Issue and Its Solution
- Calibration of a Simple Problem
- Calibration of TRACE Reflood Model using One Model Response
- Calibration of TRACE Reflood Model using Multiple Model Responses
- Chapter Summary
- Bibliography