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math.ST2019★ 5 cited
Knowledge Gradient for Selection with Covariates: Consistency and Computation
Liang Ding, L. Jeff Hong, Haihui Shen +1
Knowledge gradient is a design principle for developing Bayesian sequential sampling policies to solve optimization problems. In this paper we consider the ranking and selection pr…
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…