Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Elastic Multi-Fidelity Bayesian Model Calibration
J. Derek Tucker, Gavin Collins, Gabriel Huerta +1
Bayesian calibration of functional-output computer models typically relies on dimension reduction techniques, such as functional principal component analysis, which assume that dif…
stat.ME2025
Bayesian Adaptive Polynomial Chaos Expansions
Kellin N. Rumsey, Devin Francom, Graham C. Gibson +2
Polynomial chaos expansions (PCE) are widely used for uncertainty quantification (UQ) tasks, particularly in the applied mathematics community. However, PCE has received comparativ…