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Moreover, the MCS method along with response surface was applied to propagate modelling uncertainties and fit a response surface to sensitivity analysis results.
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The adjustment factor approach is used to propagate model uncertainty into prediction of a system response.
If the models change rapidly or frequently, it is beneficial to provide live and incrementally evaluated queries that automatically propagate model changes to keep query results consistent.
While a method called the adjustment factor approach is utilized to propagate model form uncertainty alone into the prediction of a system response, a method called model averaging is utilized to incorporate both model form uncertainty and prediction error into it.
We used Monte Carlo techniques to propagate model prediction uncertainty through to the final risk calculations.
The various formulae are then compared in a parameter space related to the physical structure of a propagating model.
The propagating model introduced is used to investigate the effect of these two parameters on acoustic absorption and thus relate the physical properties to the acoustic behaviour.
It resembles the ensemble Kalman filter (EnKF) in every aspect except that it represents and propagates model uncertainty by polynomial chaos expansion (PCE) instead of an ensemble of model realizations.
Collectively, this reexamination of the experimental evidence suggests that a number of recently propagated models about the role of O-GlcNAcylation in transcriptional control should be treated cautiously.
This paper concerns methods for simulating monotonically propagating fronts modelled by static Hamilton-Jacobi equations.
All of the submodels in the network include estimates of predictive uncertainty in the form of probability distributions which are propagated to model endpoints.
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