2 citations · 2 across the 3 of their papers we have counts for
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stat.ME2019
Distributionally Robust Selection of the Best
Weiwei Fan, L. Jeff Hong, Xiaowei Zhang
Specifying a proper input distribution is often a challenging task in simulation modeling. In practice, there may be multiple plausible distributions that can fit the input data re…
stat.ME2018
Scalable Stochastic Kriging with Markovian Covariances
Liang Ding, Xiaowei Zhang
Stochastic kriging is a popular technique for simulation metamodeling due to its exibility and analytical tractability. Its computational bottleneck is the inversion of a covarianc…
stat.ME2018
Stochastic Kriging for Inadequate Simulation Models
Lu Zou, Xiaowei Zhang
Stochastic kriging is a popular metamodeling technique for representing the unknown response surface of a simulation model. However, the simulation model may be inadequate in the s…