A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control. - Matthias H. Y. Tan; Jianjun Shi 001 (Technometrics, 2012)

Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models. - Matthias H. Y. Tan; C. F. Jeff Wu (Technometrics, 2012)

Minimax Designs for Finite Design Regions. - Matthias H. Y. Tan (Technometrics, 2013)

A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter Design. - Matthias H. Y. Tan; C. F. Jeff Wu (Technometrics, 2013)

Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targets. - Brian Simmons; Matthias H. Y. Tan; C. F. Jeff Wu; Godfried Augenbroe (Artif. Intell. Eng. Des. Anal. Manuf., 2015)

Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices. - Matthias Hwai Yong Tan (SIAM/ASA J. Uncertain. Quantification, 2015)

Stochastic Polynomial Interpolation for Uncertainty Quantification With Computer Experiments. - Matthias Hwai Yong Tan (Technometrics, 2015)

Robust Parameter Design With Computer Experiments Using Orthonormal Polynomials. - Matthias Hwai Yong Tan (Technometrics, 2015)

Monotonic Quantile Regression With Bernstein Polynomials for Stochastic Simulation. - Matthias H. Y. Tan (Technometrics, 2016)

Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs. - Matthias H. Y. Tan; Zijun Zhang (IEEE Trans. Ind. Informatics, 2016)

Optimal robust and tolerance design for computer experiments with mixture proportion inputs. - Mei Han; Matthias Hwai Yong Tan (Qual. Reliab. Eng. Int., 2017)

Monotonic Metamodels for Deterministic Computer Experiments. - Matthias Hwai Yong Tan (Technometrics, 2017)

Gaussian Process Modeling of a Functional Output with Information from Boundary and Initial Conditions and Analytical Approximations. - Matthias H. Y. Tan (Technometrics, 2018)

Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. - Guilin Li 001; Matthias Hwai Yong Tan; Szu Hui Ng (IISE Trans., 2019)

Gaussian Process Modeling of Finite Element Models with Functional Inputs. - Matthias H. Y. Tan (SIAM/ASA J. Uncertain. Quantification, 2019)

Gaussian Process Modeling Using the Principle of Superposition. - Matthias H. Y. Tan; Guilin Li 001 (Technometrics, 2019)

Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise. - Matthias H. Y. Tan (SIAM/ASA J. Uncertain. Quantification, 2020)

Multiple-target robust design with multiple functional outputs. - Fan Jiang; Matthias Hwai Yong Tan; Kwok-Leung Tsui (IISE Trans., 2021)

A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input. - Zhaohui Li; Matthias Hwai Yong Tan (Technometrics, 2022)

Sequential Decomposition of Multiple Seasonal Components Using Spectrum-Regularized Periodic Gaussian Process. - Yongxiang Li; Wuyang Zhang; Matthias Hwai Yong Tan; Peter Chien (IEEE Trans. Signal Process., 2025)