| Comparison of Gaussian process modeling software CB Erickson, BE Ankenman, SM Sanchez European Journal of Operational Research 266 (1), 179-192, 2018 | 101 | 2018 |
| Composite grid designs for adaptive computer experiments with fast inference M Plumlee, CB Erickson, BE Ankenman, E Lawrence Biometrika 108 (3), 749-755, 2021 | 9 | 2021 |
| GauPro: Gaussian process fitting C Erickson R package version 0.2 4, 2021 | 7 | 2021 |
| Gradient based criteria for sequential design CB Erickson, BE Ankenman, M Plumlee, SM Sanchez 2018 Winter Simulation Conference (WSC), 467-478, 2018 | 6 | 2018 |
| Gradient‐based criteria for sequential experiment design CB Erickson, BE Ankenman, M Plumlee, SM Sanchez Quality and Reliability Engineering International 37 (7), 3084-3107, 2021 | 4 | 2021 |
| Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages CB Erickson, BE Ankenman, SM Sanchez Data in brief 18, 684-687, 2018 | 4 | 2018 |
| Adaptive Computer Experiments for Metamodeling CB Erickson Northwestern University, 2019 | 1 | 2019 |
| GauPro: R package for Gaussian process modeling C Erickson Astrophysics Source Code Library, ascl: 2405.007, 2024 | | 2024 |
| Q1 Data from fitting Gaussian process models to various Q2 data sets using eight Gaussian process software packages CB Erickson, BE Ankenman, SM Sanchez | | |
