Interval model updating with irreducible uncertainty using the Kriging predictor

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A comparison of two stochastic model updating methods using the DLR AIRMOD test structure (2015, methodology): “The first identifies mean parameter values and covariances [13] while the second focuses on parameter means and intervals [18].”
Imprecise probabilities in engineering analyses (2013, unknown): “Further developments can be expected to emerge in the related elds of model updating and system identi cation, in which interval methods have attracted attention recently, as documented by [118] and [119].”
The sensitivity method in finite element model updating: A tutorial (vol 25, pg 2275, 2010) (2011, background): “Stochastic model updating, as opposed to deterministic model updating - and the statisticalmethod described in the previous paragraphs - is capable of inferring not only themean value of the updating parameters but also their variability (statistically or in terms of intervals) [50–54] frommeasured ”