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王亚平

  • 个人资料
    • 部门: 统计学院
    • 性别:
    • 专业技术职务: 研究员
    • 毕业院校: 北京大学
    • 学位: 博士
    • 学历: 博士
    • 联系电话:
    • 电子邮箱: ypwang@fem.ecnu.edu.cn
    • 办公地址: 中北校区理科大楼A1506B
    • 通讯地址: 上海市普陀区中山北路3663号华东师范大学经济与管理学部统计学院
    • 邮编: 200062
    • 传真:

    工作经历

    2022.01-至今,华东师范大学,统计学院,青年研究员,博士生导师

    2018.08-2021.12,华东师范大学,统计学院,助理教授

    教育经历

    2013.09-2018.07,北京大学,数学科学学院,博士,导师:艾明要教授

    2016.09-2017.08,UCLA统计系,联合培养博士,导师:徐洪泉教授

    2009.09-2013.07,北京大学,数学科学学院,学士

    个人简介

    王亚平,华东师范大学统计学院研究员,博士生导师,主要研究方向为试验设计与分析,计算机试验,应用统计等。在Annals of Statistics, JASA, Biometrika及《中国科学》等国内外期刊上发表学术论文二十余篇。

    社会兼职

    中国现场统计研究会试验设计分会常务理事

    中国数学会均匀设计分会委员

    Annals of Statistics, Statistica Sinica, Journal of Multivariate Analysis, Statistics, Journal of Statistical Planning and Inference, Journal of Applied Statistics, Journal of Systems Science and Complexity, Statistics & Probability Letters等期刊审稿人



     




    研究方向

    试验设计

    计算机试验

    应用统计


    招生与培养

    开授课程

    试验设计

    高等代数(I,II)

    线性代数

    概率论与数理统计A,B

    应用多元统计分析(研究生)


    科研项目

    国家自然科学基金面上项目,“复杂计算机试验的设计与相关大数据子抽样方法研究”,2023/01-2026/12

    国家自然科学基金青年项目,“空间填充设计的若干最优准则与构造方法研究”,2020/01-2022/12

    上海市科委扬帆项目,“最大最小距离计算机试验设计的理论与构造研究”,2019/05-2022/04

    上海市教委晨光项目,“均匀投影设计及其在计算机试验中的应用”,2020/01-2022/12

    东北师范大学应用统计教育部重点实验室开放课题,“基于试验设计的大数据最优子集的抽样方法研究”,2020/05-2020/12



    学术成果

    Refereed journal publications

    20. Xiao, Q., Wang, Y., Mandal, A., Deng, X. (2024). Modeling and active learning for experiments with quantitative-sequence factors. Journal of the American Statistical Association, 119, 407-421.

    19. Liu, S., Wang, Y.* (2024). New bounds and search for maximin distance U-type designs. Stat, 13, e650.

    18. Yu, J., Meng, X., Wang, Y.* (2023). Optimal designs for semi-parametric dose-response models under random contamination. Computational Statistics & Data Analysis, 178, 107615.

    17. Wang, Y., Sun, F. (2023). On the maximin distance properties of orthogonal designs via the rotation. Science China-Mathematics, 66, 1593-1608.

    16. Liu, S., Wang, Y., Sun, F. (2023). Two-dimensional projection uniformity for space-filling designs. Canadian Journal of Statistics, 53, 293-311.

    15. Jiang, B., Wang, F., Wang, Y.* (2022). Construction of uniform mixed-level designs through level permutations. Metrika, 85, 753-770.

    14. Jiang, B., Wang, Y., Ai, M. (2022). Search for minimum aberration designs with uniformity. Annals of the Institute of Statistical Mathematics, 74, 271-287.

    13. Wang, Y., Sun, F., Xu, H. (2022). On design orthogonality, maximin distance and projection uniformity for computer experiments. Journal of the American Statistical Association, 117, 375-385.

    12. Pang, S., Wang, Y.*, Ai, M. (2022). Construction of orthogonal arrays without interaction columns. Acta Mathematicae Applicatae Sinica, English Series, 38, 159-168.

    11. Wang, Y., Liu, S., Lin, D. K. J. (2022). On definitive screening designs using Paley's conference matrices. Statistics & Probability Letters, 181, 109267.

    10. Wang, Y., Wang, F., Yuan, Y., Xiao, Q. (2021). Connecting U-type designs before and after level permutations and expansions, Journal of Statistical Theory and Practice, 15:81.

    9. Wang, Y., Peng, Z., Zhang, R., Xiao, Q. (2021). Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers. Statistical Theory and Related Fields, 5, 122-133.

    8. Jiang, B., Wang, Z., Wang, Y.* (2021). Strong orthogonal arrays of strength two-plus based on the Addelman-Kempthorne method. Statistics & Probability Letters175, 109114.

    7. Su, Z., Wang, Y.*, Zhou, Y. (2020). On maximin distance and nearly orthogonal Latin hypercube designs. Statistics & Probability Letters166, 108878.

    6. Sun, F., Wang, Y., Xu, H. (2019). Uniform projection designs. Annals of Statistics, 47, 641-661.

    5. Wang, Y., Yang J., Xu, H. (2018). On the connection between maximin distance designs and orthogonal designs. Biometrika, 105, 471-477.

    4. Yu, J., Ai, M., Wang, Y. (2018). Optimal designs for linear models with Fredholm-type errors. Journal of Statistical Planning and Inference, 194, 65-74.

    3. Wang, Y., Ai, M. (2017). Definitive screening designs with extreme numbers of level changes. Statistics & Probability Letters, 131, 13-18.

    2. Wang, Y., Ai, M. (2016). Optimal designs for multiple treatments with unequal variances. Journal of Statistical Planning and Inference, 171, 175-183.

    1. Wang, Y., Ai, M., Li, K. (2016). Optimality of pairwise blocked definitive screening designs. Annals of the Institute of Statistical Mathematics, 68, 659-671.


    Textbook

    《试验设计》第三版,茆诗松、周纪芗、周迎春、王亚平,中国统计出版社,2020年


    荣誉及奖励

    第八届中国科协青年人才托举工程

    华东师范大学紫江青年学者

    北京大学优秀博士论文