| Magma reservoir failure and the onset of caldera collapse at Kīlauea Volcano in 2018 KR Anderson, IA Johanson, MR Patrick, M Gu, P Segall, MP Poland, ... Science 366 (6470), eaaz1822, 2019 | 145 | 2019 |
| Parallel partial Gaussian process emulation for computer models with massive output M Gu, JO Berger The Annals of Applied Statistics 10 (3), 1317-1347, 2016 | 112 | 2016 |
| Robust Gaussian stochastic process emulation M Gu, X Wang, JO Berger the Annals of Statistics 46 (6A), 3038-3066, 2018 | 108 | 2018 |
| RobustGaSP: Robust Gaussian stochastic process emulation in R M Gu, J Palomo, JO Berger The R Journal 11 (1), 112-136, 2019 | 68 | 2019 |
| Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction M Gu, L Wang SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1555--1583, 2018 | 56 | 2018 |
| Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection M Gu Bayesian Analysis 14 (3), 877-905, 2019 | 40 | 2019 |
| Generalized probabilistic principal component analysis of correlated data M Gu, W Shen Journal of Machine Learning Research 21 (13), 1-41, 2020 | 27 | 2020 |
| Uncertainty quantification and estimation in differential dynamic microscopy M Gu, Y Luo, Y He, ME Helgeson, MT Valentine Physical Review E, arXiv preprint arXiv:2105.01200, 2021 | 17 | 2021 |
| Robust uncertainty quantification and scalable computation for computer models with massive output M Gu | 16 | 2016 |
| RobustCalibration: Robust Calibration of Computer Models in R M Gu arXiv preprint arXiv:2201.01476, 2022 | 12* | 2022 |
| A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration M Gu, F Xie, L Wang SIAM/ASA Journal on Uncertainty Quantification, arXiv preprint arXiv:1807.03829, 2022 | 11* | 2022 |
| Reliable emulation of complex functionals by active learning with error control X Fang, M Gu, J Wu The Journal of Chemical Physics, arXiv preprint arXiv:2208.06727, 2022 | 10 | 2022 |
| High-throughput microscopy to determine morphology, microrheology, and phase boundaries applied to phase separating coacervates Y Luo, M Gu, CER Edwards, MT Valentine, ME Helgeson Soft Matter 18 (15), 3063-3075, 2022 | 10 | 2022 |
| Fast Nonseparable Gaussian Stochastic Process With Application to Methylation Level Interpolation M Gu, Y Xu Journal of Computational and Graphical Statistics 29 (2), 250-260, 2020 | 10 | 2020 |
| Characterizing performance inequity across us ookla speedtest users U Paul, J Liu, V Adarsh, M Gu, A Gupta, E Belding arXiv preprint arXiv:2110.12038, 2021 | 8 | 2021 |
| Ab initio uncertainty quantification in scattering analysis of microscopy M Gu, Y He, X Liu, Y Luo arXiv preprint arXiv:2309.02468, 2023 | 6 | 2023 |
| Calibration of imperfect geophysical models by multiple satellite interferograms with measurement bias M Gu, K Anderson, E McPhillips Technometrics, arXiv preprint arXiv:1810.11664, 2023 | 6* | 2023 |
| The importance of contextualization of crowdsourced active speed test measurements U Paul, J Liu, M Gu, A Gupta, E Belding Proceedings of the 22nd ACM Internet Measurement Conference, 274-289, 2022 | 6 | 2022 |
| Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels M Gu, X Liu, X Fang, S Tang The New England Journal of Statistics in Data Science arXiv preprint arXiv …, 2022 | 6* | 2022 |
| Efficient force field and energy emulation through partition of permutationally equivalent atoms H Li, M Zhou, J Sebastian, J Wu, M Gu Journal of Chemical Physics, arXiv preprint arXiv:2108.06072, 2022 | 6 | 2022 |
James BergerProfessor of Statistics, Duke UniversityVerified email at stat.duke.edu
