Bayesian calibration of stochastic computer models. - Jun Yuan 002; Szu Hui Ng (IEEM, 2011)

A sequential approach for stochastic computer model calibration and prediction. - Jun Yuan 002; Szu Hui Ng (Reliab. Eng. Syst. Saf., 2013)

Calibration of Stochastic Computer Models Using Stochastic Approximation Methods. - Jun Yuan 002; Szu Hui Ng; Kwok Leung Tsui (IEEE Trans Autom. Sci. Eng., 2013)

Calibration, Validation, and Prediction in Random Simulation Models: Gaussian Process Metamodels and a Bayesian Integrated Solution. - Jun Yuan 002; Szu Hui Ng (ACM Trans. Model. Comput. Simul., 2015)

Informational Approach to Global Optimization with Input Uncertainty for Homoscedastic Stochastic Simulation. - Haowei Wang; Jun Yuan 002; Szu Hui Ng (IEEM, 2018)

A data-driven online truncation method for transient bias reduction in steady-state simulations. - Nan Zhang; Jun Yuan 002; Szu Hui Ng (Comput. Ind. Eng., 2019)

Gaussian process based optimization algorithms with input uncertainty. - Haowei Wang; Jun Yuan 002; Szu Hui Ng (IISE Trans., 2020)

An Integrated Method for Simultaneous Calibration and Parameter Selection in Computer Models. - Jun Yuan 002; Szu Hui Ng (ACM Trans. Model. Comput. Simul., 2020)