李文连

上海交通大学上海高级金融学院管理学教授

学士学位:清华大学应用数学
硕士学位:滑铁卢大学统计学
博士学位:滑铁卢大学统计学

William Li (李文连)教授现为上海交通大学上海高级金融学院(SAIF)管理学教授。在2018年加入SAIF前,李教授曾担任明尼苏达大学卡尔森管理学院供应链与运营学终身教授及Eric Jing讲席教授,并曾在复旦大学管理学院任特聘教授。

William Li教授的论文集中发表在应用统计领域的一流杂志中,特别是在实验设计领域中认可的顶级杂志(例如:Technometrics, Journal of the American Statistics Association)。另外,其参与撰写的“应用线性统计模型”(第5版)是被广泛采用的一本统计教科书,也在学术界被多次引用。作为对李教授学术贡献的认可,2013年他被授予美国统计协会的Fellow(院士/会士)。同时,李教授拥有着非常丰富的教学经验,曾5次荣获明尼苏达大学卡尔森管理学院优秀教学奖。在加入高金的第一年,他获得了当年的SAIF教学优异奖。

李教授在清华大学获得应用数学本科学位,在滑铁卢大学获得统计学硕士和博士学位。

 

工业与商业统计、实验设计、商业分析和大数据、金融科技。
  • 期刊论文

    1. Tichon, Jenna G., William Li, and Robert G. Mcleod. 2012. Generalized Minimum Aberration Two-Level Split-Plot Designs, Journal of Statistical Planning and Inference.

    2. Li, William, Christopher J. Nachtsheim, Ke Wang, Robert Reul and Mark Albrecht. 2013. Conjoint Analysis and Discrete Choice Experiments for Quality Improvement, Journal of Quality Technology.

    3. Yang, Po, and William Li. 2014. Blocked Two-level Semifoldover Designs, Journal of Statistical Planning and Inference.

    4. Li, William, and Ji Zhu. 2014. Comments: Model Selection with Strong and Weak Heredity, Technometrics.

    5. Li, William, Qi Zhou, and Runchu Zhang. 2015. Effective Designs Based on Individual Word Length Patterns, Journal of Statistical Planning and Inference.

    6. Li, William, and Dennis K. J. Lin. 2016. A Note on Foldover of 2n-k Designs with Column Permutations, Technometrics.

    7. Errore, Anna, Bradley Jones, William Li, and Christopher J. Nachtsheim. 2017. Benefits and Fast Computation of Efficient Foldover Designs, Technometrics.

    8. Errore, Anna, Bradley Jones, William Li, and Christopher J. Nachtsheim. 2017. Using Definitive Screening Designs to Identify Active First- and Second-Order Factor Effects, Journal of Quality Technology.

    9. Yang, Po, and William Li. 2019. Some Properties of Foldover Designs with Column Permutations, Metrika.

    10. Li, William, Robert W. Mee, and Qi Zhou. 2019. Using Individual Factor Information in Fractional Factorial Designs, Technometrics.

    11. Chen, Kedong, William Li, and Sijian Wang. 2020. An Easy-to-Implement Hierarchical Standardization for Variable Selection under Strong Heredity Constraint, Journal of Statistical Theory and Practice.

    12. Zhou, Qi, William Li, and Hongquan Xu. 2021. Utilizing Individual Clear Effects for Intelligent Factor Allocations and Design Selections, Journal of Quality Technology.

    13. Chen, Ping-Yang, Ray-Bing Chen, Jui-Pin Li, and William Li. 2022. Particle Swarm Exchange Algorithms with Applications in Generating Optimal Model-Discrimination Designs, Quality Engineering.

    14. Bi, Xuan, Gediminas Adomavicius, William Li, and Annie Qu. 2022. Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness, Informs Journal on Computing.

    15. He, L., Li, W., Song, D., and Yang, M.. 2022. A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data, Statistica Sinica.

  • 著作
    • Applied Linear Statistical Models 5th

      出版时间:2004-08-10

个人风采

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李文连:讲统计的商学院“网红教授”

他曾担任明尼苏达大学讲席教授,撰写的多篇论文发表于国际顶级杂志,参与编写的经典统计教科书被全球顶级商学院广泛应用,他的“中国好统计欢乐课”正在高金全面铺开,并受到从MBA到GES各层级课程的学员的热捧...

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