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stat.ME2026
A Review of Bayesian Surrogate Modeling for High-Dimensional Computer Simulations
Gavin Collins, Gabriel Huerta, J. Derek Tucker +1
Bayesian surrogate models play a central role in the analysis of computationally expensive physics-based simulators, particularly when uncertainty quantification (UQ) is a primary…
stat.ML2026
Ribbon: Scalable Approximation and Robust Uncertainty Quantification
Graham Gibson, John Tipton, Kellin Rumsey +1
Reliably quantifying predictive uncertainty is difficult for complex, high-dimensional, or misspecified models. Both fully Bayesian and bootstrap resampling methods provide princip…