Rui Tuo
Cited by
Cited by
Efficient calibration for imperfect computer models
R Tuo, CFJ Wu
The Annals of Statistics 43 (6), 2331-2352, 2015
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
Building accurate emulators for stochastic simulations via quantile kriging
M Plumlee, R Tuo
Technometrics 56 (4), 466-473, 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
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
Advances in Neural Information Processing Systems, 10825-10834, 2018
Deterministic sampling of expensive posteriors using minimum energy designs
VR Joseph, D Wang, L Gu, S Lyu, R Tuo
Technometrics, 2019
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs.
R Tuo, W Wang
J. Mach. Learn. Res. 21, 187:1-187:38, 2020
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
The Annals of Applied Statistics 14 (4), 1759-1776, 2020
Adjustments to computer models via projected kernel calibration
R Tuo
SIAM/ASA Journal on Uncertainty Quantification 7 (2), 553-578, 2019
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
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
Prediction based on the Kennedy-O'hagan calibration model: asymptotic consistency and other properties
R Tuo, CFJ Wu
Statistica Sinica, 743-759, 2018
Generalization guarantees for sparse kernel approximation with entropic optimal features
L Ding, R Tuo, S Shahrampour
International Conference on Machine Learning, 2545-2555, 2020
Comment: a Brownian motion model for stochastic simulation with tunable precision
R Tuo, PZG Qian, CFJ Wu
Technometrics 55 (1), 29-31, 2013
Uncertainty quantification with α-stable-process models
R Tuo
Statistica Sinica, 553-576, 2018
Single and Multiple Change-Point Detection with Differential Privacy.
W Zhang, S Krehbiel, R Tuo, Y Mei, R Cummings
J. Mach. Learn. Res. 22, 29:1-29:36, 2021
The temporal overfitting problem with applications in wind power curve modeling
A Prakash, R Tuo, Y Ding
Technometrics, 1-13, 2022
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