References

• 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
• 1998Hierarchical Bayesian space-time models413 cited
• 2015On the Statistical Calibration of Physical Models138 cited
• 2014A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification136 cited
• 2008Numerical methods for experimental design of large-scale linear ill-posed inverse problems132 cited
• 2011A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis48 cited
• 2014A Measure-Theoretic Computational Method for Inverse Sensitivity Problems III: Multiple Quantities of Interest39 cited
• 2012A Computational Measure Theoretic Approach to Inverse Sensitivity Problems II: A Posteriori Error Analysis38 cited
• 2015Definition and solution of a stochastic inverse problem for the Manning’s n parameter field in hydrodynamic models30 cited
• 2015Model validation and calibration based on component functions of model output14 cited
• 2008A top-down approach to calibration, validation, uncertainty quantification and predictive accuracy assessment14 cited

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