A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy
A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy
Inference of physical parameters from reference data is a well studied problem with many intricacies (inconsistent sets of data due to experimental systematic errors, approximate physical models...). The complexity is further increased when the inferred parameters are used to make predictions (virtual measurements) because parameters uncertainty has to be estimated …