• Assistant Professor, Industrial & Systems Engineering
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Educational Background

  • Ph.D., Statistics, University of Chinese Academy of Sciences - 2013
  • B.S., Statistics, University of Science and Technology of China - 2008

Research Interests

    • Design and analysis of computer experiments
    • Uncertainty quantification
    • Statistical inference in random fields
    • Nonparametric and semiparametric statistics
    • Bayesian inference and computation

Selected Publications

  • Tuo, R., and Wu, C. F. J., (2018) “Prediction Based on the Kennedy-O’Hagan Calibration Model: Asymptotic Consistency and Other Properties”, Statistica Sinica, 28(2), 743-759
  • Tuo, R., and Wu, C. F. J., (2016) “A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties,” SIAM/ASA Journal on Uncertainty Quantification, 4(1), 739-766
  • Tuo, R., and Wu, C. F. J., (2015) “Efficient Calibration for Imperfect Computer Models,” The Annals of Statistics, 43(6), 2331-2352
  • Plumlee, M., and Tuo, R. (2014) “Building Accurate Emulators for Stochastic Simulations via Quantile Kriging,” Technometrics, 56(4), 466-473
  • Tuo, R., Wu, C. F. J., and Yu, D. (2014) “Surrogate Modeling of Computer Experiments with Different Mesh Densities,” Technometrics, 56(3), 372-380