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Out of the models generated, the best model was selected based on Modeller's scoring function and external validation via Whatcheck (Hooft et al., 1996) and PROSA (Wiederstein and Sippl, 2007).
Using the complete ensemble of models generated, the posterior distribution is resampled in order to quantify the uncertainty associated with forecasting reservoir performance in a Bayesian framework.
Third, it should be evaluated if it is possible to detect which of the two models generated the data.
From the homology models generated, the one with highest C-score was selected for further refinement.
Furthermore, we shall suppose that the following linear models generated the observed data: where Δ and κ are mean 0 error terms, uncorrelated with Y0.
These models generated the same stationary family size distribution, but the stochastic properties of the higher order models were dramatically different from those of the linear BDIM.
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Both models generate the time courses for E & I population rates and adaptation presented.
The goal is to make reliable inferences while making minimal assumptions about the models generating the data.
The models generate the activities and identify the destinations of these activities.
Finite element models generating the random aggregate have been used to predict the dynamic moduli of the asphalt concrete materials.
Most attempts seem to have been concentrated on distinguishing between the proneness and contagion models generating the negative binomial distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com