Active learning for simulator calibration S Koermer, J Loda, A Noble, RB Gramacy arXiv preprint arXiv:2301.10228, 2023 | 4 | 2023 |
The utility of Bayesian data reconciliation for separations S Koermer, A Noble Minerals Engineering 169, 106837, 2021 | 3 | 2021 |
Estimation of process steady state with autoregressive models and Bayesian inference S Koermer, A Noble Minerals Engineering 191, 107965, 2023 | 1 | 2023 |
The Application of Mineral Processing Techniques to the Scrap Recycling Industry SC Koermer Virginia Tech, 2015 | 1 | 2015 |
Augmenting a simulation campaign for hybrid computer model and field data experiments S Koermer, J Loda, A Noble, RB Gramacy Technometrics, 1-22, 2024 | | 2024 |
Bayesian Methods for Mineral Processing Operations SC Koermer Virginia Tech, 2022 | | 2022 |
Optimization of a Metallurgical Process with Uncertain Dynamics S Koermer, A Noble | | |