159 citations · 171 across the 5 of their papers we have counts for
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stat.ME2023★ 1 cited
Model Calibration and Validation From A Statistical Inference Perspective
Samson Ting, Thomas Lymburn, Thomas Stemler +2
Despite the general consensus in transport research community that model calibration and validation are necessary to enhance model predictive performance, there exist significant i…
physics.data-an2023
Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations
Connor Duffin, Paul Branson, Matt Rayson +3
The abundance of observed data in recent years has increased the number of statistical augmentations to complex models across science and engineering. By augmentation we mean coher…