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math.ST2023★ 1 cited
A reinforced learning approach to optimal design under model uncertainty
Mingyao Ai, Holger Dette, Zhengfu Liu +1
Optimal designs are usually model-dependent and likely to be sub-optimal if the postulated model is not correctly specified. In practice, it is common that a researcher has a list…
math.ST2015★ 11 cited
Optimal designs for the proportional interference model
Kang Li, Wei Zheng, Mingyao Ai
The interference model has been widely used and studied in block experiments where the treatment for a particular plot has effects on its neighbor plots. In this paper, we study op…