Dave M. Higdon

Hierarchical Bayesian calibration with Bayesian committee machine

Calibrating computational models to experimental data is a core task in applied statistics, especially in scientific domains, where physical experiments are costly and simulations play a central role in design and inference. Motivated by uncertainty quantification challenges in particle accelerator experiments, we deve...