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In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, requiring a probabilistic model for the error between predictions and observations.
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Overall, these reduced order models help to produce accurate predictions for a wide range of motions, but with the advantage that model predictions require orders of magnitude less time to evaluate once the model is created.
While model predictions require experimental validation, they are useful tools for prioritizing targets for experimental planning.
Instead, quantitative agreement and an assessment of nature of possible between-individual heterogeneity of fit to model predictions are required in order to have evidence for optimality; without both of these test components, acceptance of the hypothesis of optimality is not warranted (see above).
Generally, ARMA models incorporated into prediction requiring three main steps, identification, estimation and diagnostic check.
Such predictions require material models that consider not only the initial failure but also the responses of severely damaged composites.
The translation of test method readouts into human health predictions requires prediction models which are often based on biostatistical methods.
Predictions require advanced computer models and regional weather forecasts; both are lacking across the developing world.
Predictions require better mechanistic models to understand the underlying fundamental subprocesses on a microscopic level.
Chemical variability induced by relatively small changes in waste package heat output suggests that designing a monitoring program that will rigorously test model predictions will likely require high resolution, three-dimensional simulations of the "as-built" monitoring tunnels.
We found that the closest agreement between model predictions and data required that the I93M mutant had a damage rate that is about 50% higher than wild-type.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com