Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification

Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification

Inverse Uncertainty Quantification (UQ), or Bayesian calibration, is the process to quantify the uncertainties of random input parameters based on experimental data. The introduction of model discrepancy term is significant because “over-fitting” can theoretically be avoided. But it also poses chall...

Bibliográfalaš dieđut
Váldodahkkit:	Wu, Xu, Shirvan, Koroush, Kozlowski, Tomasz
Eará dahkkit:	Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	Elsevier BV 2020
Liŋkkat:	https://hdl.handle.net/1721.1/124474

Geahča maid

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