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The phrase "uncertainty quantification" is correct and usable in written English
It is typically used in scientific and engineering contexts to refer to the process of quantifying uncertainty in models or predictions. Example: "In our study, we applied uncertainty quantification to assess the reliability of our simulation results."
Exact(60)
For accurate uncertainty quantification, a good proxy is needed.
Hence, uncertainty quantification becomes an integral part of this study.
Uncertainty quantification is conducted to address parameter uncertainties.
Risk analysis is inherently related to uncertainty quantification.
Then uncertainty quantification was performed using Akaike information criterion.
Robust optimization of dynamical systems requires the proper uncertainty quantification.
We illustrate the uncertainty quantification procedure using synthetic data.
SMU for parameter uncertainty quantification refers to the problem of inverse uncertainty quantification (IUQ), which is a nontrivial task.
Our uncertainty quantification is based on the concept of the polynomial chaos expansion (PCE).
Expert elicitation for uncertainty quantification (or qualification), in particular faces some challenges.
For uncertainty quantification, a full Bayesian treatment of uncertainty was performed using Markov Chain Monte Carlo.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com