معرفی
Ke-Hai Yuan is a Professor at the University of Notre Dame with an office in E432 Corbett Family Hall. He leads the Statistical Methods for Real Data Lab, focusing on advanced statistical techniques for real-world data challenges.
Education:
- Ph.D., University of California, Los Angeles (UCLA)
- M.S., Beijing Institute of Technology
- B.S., Beijing Institute of Technology
Research and Teaching Interests: His work spans foundational and applied statistics, encompassing structural equation modeling, mediation and moderation analysis, robust methods, missing data, and computational statistics. He has contributed to methodologies for nonnormal distributions, asymptotics, bootstrap techniques, and statistical learning for big data. Teaching interests include structural equation modeling, computational statistics, and linear models.
Labs and Teams: He oversees the Statistical Methods for Real Data Lab at Notre Dame, fostering innovation in empirical modeling and statistical software development.
