معرفی
Shaobo Li is an Associate Professor in the Department of Analytics, Information, and Operations at the University of Kansas School of Business. His research spans high-dimensional robust statistics, ordinal data analysis, and data privacy in business contexts.
- Ph.D. in Business Administration, University of Cincinnati
- M.S. in Statistics, University of Cincinnati
- B.A. in Mathematics, Shandong University
Li’s work focuses on nonparametric regression techniques, corporate bankruptcy prediction models, and methodological innovations in ordinal variable analysis. He has contributed to data privacy frameworks for marketing and financial applications, emphasizing flexible statistical approaches.
Recent publications highlight his expertise in partial association quantification, point-of-sale data anonymization, and second-party data utilization. Collaborative efforts include applications in marketing science and business analytics.
