Exact(60)
The third step, Bias correction and Copy Number calls, corrects the reference model bias and infers the true copy number genotype.
Model bias was determined through plotting predicted against measured values.
To improve model accuracy without conceptually revising the model, various model bias correction approaches have been proposed to firstly characterize model bias at training design configurations and then approximate model bias at the intended design configuration.
To limit model bias, we applied a 40 Å low-pass filter to these templates.
A systematic design method for mass flow estimation with correction for model bias is proposed.
Increasing model horizontal resolution tends to reduce model bias and error for precipitation predictions.
Additionally, the sensitivity of the indicators to model bias, outliers and repeated data is evaluated.
MR measures the average model bias, describing the directional magnitude, the size of expected under and overestimates.
In particular, three technical components are proposed including: i) an accuracy metric for time dependent model responses under uncertainty, ii) effective approaches for time dependent model bias calibration and approximation, and iii) reliability analysis considering the time dependent model bias.
This paper presents such a framework of time dependent model bias correction for model based reliability analysis.
Assigning model parameters on the basis of spatial proximity outperformed physical similarity methods, particular with respect to model bias.
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