Surrogate preposterior analyses for predicting and enhancing identifiability in model calibration

@article{Jiang2015SurrogatePA,
  title={Surrogate preposterior analyses for predicting and enhancing identifiability in model calibration},
  author={Zhen Jiang and Daniel W. Apley and Wei Chen},
  journal={International Journal for Uncertainty Quantification},
  year={2015},
  volume={5},
  pages={341-359}
}
  • Zhen Jiang, Daniel W. Apley, Wei Chen
  • Published 2015
  • International Journal for Uncertainty Quantification
  • In physics-based engineering modeling and uncertainty quantification, distinguishing the effects of two main sources of uncertainty — calibration parameter uncertainty and model discrepancy — is challenging. Previous research has shown that identifiability, which is quantified by the posterior covariance of the calibration parameters, can sometimes be improved by experimentally measuring multiple responses of the system that share a mutual dependence on a common set of calibration parameters… CONTINUE READING

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