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HYPERDIFFERENTIAL SENSITIVITY ANALYSIS IN THE CONTEXT OF BAYESIAN INFERENCE APPLIED TO ICE-SHEET PROBLEMS
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HYPERDIFFERENTIAL SENSITIVITY ANALYSIS IN THE CONTEXT OF BAYESIAN INFERENCE APPLIED TO ICE-SHEET PROBLEMS (2023)HYPERDIFFERENTIAL SENSITIVITY ANALYSIS IN…HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION (2020)HYPERDIFFERENTIAL SENSITIVITY…Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet (2015)Scalable and efficient algori…Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (2008)Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (2018)Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields (2019)Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review (2021)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A new uncertainty importance measure (2006)Global Sensitivity Analysis. The Primer (2007)HYPAD-UQ: A Derivative-Based Uncertainty Quantification Method Using a Hypercomplex Finite Element Method (2023)HYPER-DIFFERENTIAL SENSITIVITY ANALYSIS FOR NONLINEAR BAYESIAN INVERSE PROBLEMS (2023)
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References

  • 2015Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet155 cited
  • 2020HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION16 cited

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