Design and analysis of experiments; Computer experiments; Big data analysis; Applied statistics and probability.
2017.01-2020.12, The research on the fundamental theories of statistical inference for experimental designs (NNSF of China, PI, No. 11671019)
2016.08-2020.07, Statistical diagnosis models for air quality (China’s National Key Research Special Program grant 2016YFC0207700)
2014.01-2018.12, Methods, theories and applications of statistical analysis for biological and medical data (NNSF of China, Key grant 11331011)
2013.01-2016.12, The research on the newest theories of the design and modeling for computer experiments (NNSF of China, PI, No. 11271032)
2010.10-2011.12, The further study on the construction theory of nested space-filling designs (SRF for ROCS, State Education Ministry.)
2010.01-2012.12, The study on the overall design and analysis of computer and practical experiments (NNSF of China, PI, No. 10971004)
2007.08-2011.12, The essential study on the properties of the Chinese medicines based on three components constitution (Director of Data Analysis, The National Basic Research Project of China (973), No. 2007CB512605)
2007.01-2009.12, The study on the construction and analysis of some newest classes of designs in complex system experiments (NNSF of China, PI, No. 10671007)
2006.01-2008.12, The further study on the construction and analysis of some general types of optimal factorial designs (NNSF of China, Co-PI, No. 10571093)
2004.07, The study on theories and methods for the construction of optimal fractional factorial designs (The 35th group of CPSF, PI, No. 20040350240)
1. Yu, Jun; Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Optimal designs for dose-response models with linear effects of covariates. Computational Statistics and Data Analysis 127, 217-228.
2. Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Design for sequential follow-up experiments in computer emulations. Technometrics 60(1), 61-69.
3. Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Flexible sliced designs for computer experiments. Annals of the Institute of Statistical Mathematic 70(3), 631-646.
4. Yu, Jun; Ai, Mingyao; Wang, Yaping (2018). Optimal designs for linear models with Fredholm-type errors. Journal of Statistical Planning and Inference 194, 65-74.
5. Wang, Yaping; Ai, Mingyao (2017). Definitive Screening Designs with Extreme Numbers of Level Changes. Statistics and Probability Letters 131, 13-18.
6. Zheng, Wei; Ai, Mingyao; Li, Kang (2017). Identification of universally optimal circular designs for the interference model. Annals of Statistics 45(4), 1462-1487.
7. Kong, Xiangshun; Ai, Mingyao; Mukerjee, Rahul (2017). Central limit theorems for four new types of U-designs. Statistics 51(3), 655-667.
8. Jiang, Bochuan; Ai, Mingyao (2017). Construction of uniform U-designs. Journal of Statistical Planning and Inference 181, 1-10.
9. Ai, Mingyao; Liang, Jiajuan; Tang, Man-Lai (2016). A generalized T3 graph for testing high dimensional normality. Frontiers of Mathematics in China 11(6), 1363-1378.
10. Wang, Yaping; Ai, Mingyao (2016). Optimal designs for multiple treatments with unequal variances. Journal of Statistical Planning and Inference 171, 175-183.