Rui Tuo
Citado por
Citado por
Efficient calibration for imperfect computer models
R Tuo, CFJ Wu
A theoretical framework for calibration in computer models: Parametrization, estimation and convergence properties
R Tuo, CF Jeff Wu
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 767-795, 2016
Sequential exploration of complex surfaces using minimum energy designs
VR Joseph, T Dasgupta, R Tuo, CFJ Wu
Technometrics 57 (1), 64-74, 2015
Surrogate modeling of computer experiments with different mesh densities
R Tuo, CFJ Wu, D Yu
Technometrics 56 (3), 372-380, 2014
On prediction properties of kriging: Uniform error bounds and robustness
W Wang, R Tuo, CF Jeff Wu
Journal of the American Statistical Association 115 (530), 920-930, 2020
Building accurate emulators for stochastic simulations via quantile kriging
M Plumlee, R Tuo
Technometrics 56 (4), 466-473, 2014
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
Advances in Neural Information Processing Systems, 10825-10834, 2018
Kriging prediction with isotropic Matérn correlations: Robustness and experimental designs
R Tuo, W Wang
Journal of Machine Learning Research 21 (187), 1-38, 2020
Deterministic sampling of expensive posteriors using minimum energy designs
VR Joseph, D Wang, L Gu, S Lyu, R Tuo
Technometrics, 2019
Principles of inter-amino-acid recognition revealed by binding energies between homogeneous oligopeptides
H Du, X Hu, H Duan, L Yu, F Qu, Q Huang, W Zheng, H Xie, J Peng, ...
ACS central science 5 (1), 97-108, 2019
Adjustments to computer models via projected kernel calibration
R Tuo
SIAM/ASA Journal on Uncertainty Quantification 7 (2), 553-578, 2019
Optimization of multi-fidelity computer experiments via the EQIE criterion
X He, R Tuo, CFJ Wu
Technometrics 59 (1), 58-68, 2017
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation
Y Wang, X Yue, R Tuo, JH Hunt, J Shi
On the improved rates of convergence for Matérn-type kernel ridge regression with application to calibration of computer models
R Tuo, Y Wang, CF Jeff Wu
SIAM/ASA Journal on Uncertainty Quantification 8 (4), 1522-1547, 2020
Stochastic convergence of a nonconforming finite element method for the thin plate spline smoother for observational data
Z Chen, R Tuo, W Zhang
SIAM Journal on Numerical Analysis 56 (2), 635-659, 2018
Prediction based on the Kennedy-O'Hagan calibration model: Asymptotic consistency and other properties
R Tuo, CFJ Wu
Statistica Sinica, 743-759, 2018
Projection pursuit Gaussian process regression
G Chen, R Tuo
IISE Transactions 55 (9), 901-911, 2023
The temporal overfitting problem with applications in wind power curve modeling
A Prakash, R Tuo, Y Ding
Technometrics 65 (1), 70-82, 2023
Generalization guarantees for sparse kernel approximation with entropic optimal features
L Ding, R Tuo, S Shahrampour
International Conference on Machine Learning, 2545-2555, 2020
A reproducing kernel Hilbert space approach to functional calibration of computer models
R Tuo, S He, A Pourhabib, Y Ding, JZ Huang
Journal of the American Statistical Association 118 (542), 883-897, 2023
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