Books
Zhang, Runchu; Zheng, Haitao; Lan, Yan; Ai, Mingyao; Lin, Yi; Yang, Guijun (2003). Chinese-Translated Book from “Wu, C.F.J. and Hamada, M. (2000). Experiments: Planning, Analysis and Parameter Design Optimization. John Wiley & Sons, New York.” China Statistics Press.
Referred Journal Papers
1. Yu, Jun; Wang, HaiYing; Ai, Mingyao; Zhang, Huiming (2022). Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. Journal of the American Statistical Association, https://doi.org/ 10.1080/01621459.2020.1773832.
2. Ai, Mingyao; Yu, Jun; Zhang, Huiming; Wang, HaiYing (2021). Optimal Subsampling Algorithms for Big Data Regressions. Statistica Sinica 31(2), 749-772.
3. Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Design for sequential follow-up experiments in computer emulations. Technometrics 60(1), 61-69.
4. Zheng, Wei; Ai, Mingyao; Li, Kang (2017). Identification of universally optimal circular designs for the interference model. Annals of Statistics 45(4), 1462-1487.
5. Ai, Mingyao; Kong, Xiangshun; Li, Kang (2016). A general theory for orthogonal array based Latin hypercube designs. Statistica Sinica 26 (2), 761-777.
6. Li, Kang; Zheng, Wei; Ai, Mingyao (2015). Optimal designs for the proportional interference model. Annals of Statistics 43(4), 1596-1616.
7. Qian, Z.G. Peter; Ai, Mingyao; Hwang, Youngdeok; Su, Heng (2014). Asymmetric nested lattice samples. Technometrics 56(1), 46-54.
8. Qian, Z.G. Peter; Ai, Mingyao (2010). Nested lattice sampling: A new sampling scheme derived by randomizing nested orthogonal arrays. Journal of the American Statistical Association 105(491), 1147-1155.
9. Qian, Z.G. Peter; Ai, Mingyao; Wu, C. F. Jeff (2009). Construction of nested space-filling designs. Annals of Statistics 37(6A), 3616-3643.
10. Joseph, V. Roshan; Ai, Mingyao; Wu, C. F. Jeff (2009). Bayesian-inspired minimum aberration two- and four-level designs. Biometrika 96(1), 95-106.
