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Matthias H. Y. Tan
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- affiliation: City University of Hong Kong, Systems Engineering and Engineering Management Department
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2020 – today
- 2022
- [j19]Zhaohui Li
, Matthias Hwai Yong Tan:
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input. Technometrics 64(3): 299-311 (2022) - 2021
- [j18]Fan Jiang
Multiple-target robust design with multiple functional outputs. IISE Trans. 53(9): 1052-1066 (2021) - 2020
- [j17]Matthias H. Y. Tan:
Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise. SIAM/ASA J. Uncertain. Quantification 8(3): 891-925 (2020)
2010 – 2019
- 2019
- [j16]Guilin Li, Matthias Hwai Yong Tan, Szu Hui Ng:
Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. IISE Trans. 51(5): 517-530 (2019) - [j15]Matthias H. Y. Tan:
Gaussian Process Modeling of Finite Element Models with Functional Inputs. SIAM/ASA J. Uncertain. Quantification 7(4): 1133-1161 (2019) - [j14]Matthias H. Y. Tan, Guilin Li:
Gaussian Process Modeling Using the Principle of Superposition. Technometrics 61(2): 202-218 (2019) - 2018
- [j13]Matthias H. Y. Tan:
Gaussian Process Modeling of a Functional Output with Information from Boundary and Initial Conditions and Analytical Approximations. Technometrics 60(2): 209-221 (2018) - 2017
- [j12]Mei Han
Optimal robust and tolerance design for computer experiments with mixture proportion inputs. Qual. Reliab. Eng. Int. 33(8): 2255-2267 (2017) - [j11]Matthias Hwai Yong Tan:
Monotonic Metamodels for Deterministic Computer Experiments. Technometrics 59(1): 1-10 (2017) - 2016
- [j10]Matthias H. Y. Tan:
Monotonic Quantile Regression With Bernstein Polynomials for Stochastic Simulation. Technometrics 58(2): 180-190 (2016) - [j9]Matthias H. Y. Tan, Zijun Zhang
Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs. IEEE Trans. Ind. Informatics 12(3): 1261-1269 (2016) - 2015
- [j8]Brian Simmons, Matthias H. Y. Tan
Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targets. Artif. Intell. Eng. Des. Anal. Manuf. 29(4): 417-427 (2015) - [j7]Matthias Hwai Yong Tan:
Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices. SIAM/ASA J. Uncertain. Quantification 3(1): 146-168 (2015) - [j6]Matthias Hwai Yong Tan
Stochastic Polynomial Interpolation for Uncertainty Quantification With Computer Experiments. Technometrics 57(4): 457-467 (2015) - [j5]Matthias Hwai Yong Tan
Robust Parameter Design With Computer Experiments Using Orthonormal Polynomials. Technometrics 57(4): 468-478 (2015) - 2013
- [j4]Matthias H. Y. Tan
Minimax Designs for Finite Design Regions. Technometrics 55(3): 346-358 (2013) - [j3]Matthias H. Y. Tan
A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter Design. Technometrics 55(3): 359-372 (2013) - 2012
- [j2]Matthias H. Y. Tan
Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models. Technometrics 54(1): 51-63 (2012) - [j1]Matthias H. Y. Tan
A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control. Technometrics 54(3): 294-307 (2012)
Coauthor Index
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