Matthias H. Y. Tan - researchr alias

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Viewing Publication 1 - 10 from 10

2020

Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal NoiseMatthias H. Y. Tan. juq, 8(3):891-925, 2020. [doi]

2019

Gaussian Process Modeling of Finite Element Models with Functional InputsMatthias H. Y. Tan. juq, 7(4):1133-1161, 2019. [doi]

Gaussian Process Modeling Using the Principle of SuperpositionMatthias H. Y. Tan, Guilin Li. technometrics, 61(2):202-218, 2019. [doi]

2018

Gaussian Process Modeling of a Functional Output with Information from Boundary and Initial Conditions and Analytical ApproximationsMatthias H. Y. Tan. technometrics, 60(2):209-221, 2018. [doi]

2016

Monotonic Quantile Regression With Bernstein Polynomials for Stochastic SimulationMatthias H. Y. Tan. technometrics, 58(2):180-190, 2016. [doi]

2015

Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targetsBrian Simmons, Matthias H. Y. Tan, C. F. Jeff Wu, Godfried Augenbroe. aiedam, 29(4):417-427, 2015. [doi]

2013

A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter DesignMatthias H. Y. Tan, C. F. Jeff Wu. technometrics, 55(3):359-372, 2013. [doi]

Minimax Designs for Finite Design RegionsMatthias H. Y. Tan. technometrics, 55(3):346-358, 2013. [doi]

2012

A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality ControlMatthias H. Y. Tan, Jianjun Shi. technometrics, 54(3):294-307, 2012. [doi]

Robust Design Optimization With Quadratic Loss Derived From Gaussian Process ModelsMatthias H. Y. Tan, C. F. Jeff Wu. technometrics, 54(1):51-63, 2012. [doi]

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