Validation and error estimation of computational models

  title={Validation and error estimation of computational models},
  author={Ramesh Rebba and Sankaran Mahadevan and Shuping Huang},
  journal={Rel. Eng. & Sys. Safety},
This paper develops a Bayesian methodology for assessing the confidence in model prediction by comparing the model output with experimental data when both are stochastic. The prior distribution of the response is first computed, which is then updated based on experimental observation using Bayesian analysis to compute a validation metric. A model error estimation methodology is then developed to include model form error, discretization error, stochastic analysis error (UQ error), input data… CONTINUE READING
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