Faculty Profile for Dr. Zewei Lin
Dr. Zewei Lin
Assistant Professor — Dept of Information Systems & Analytics
MCOY 404
Biography Section
Biography and Education
Dr. Zewei Lin is an Assistant Professor in Analytics at the Department of Information Systems and Analytics, McCoy College of Business. He got his PhD in Business Analytics from the University of Cincinnati in 2024, a B.S. in Statistics, a B.Ec. in Economic Statistics, and a B.A. in Philosophy from Renmin University of China in 2019. His research focuses on developing statistical/machine learning methods to address the multifaceted challenges associated with model transparency. He primarily works on problems that involve discrete data (e.g., binary, rating, or count data) which amplify statistical challenges and call for new developments.Teaching Interests
Computational Analytics, Optimization for Business Analytics, Data Mining, Statistical ComputingResearch Interests
Business Analytics, Model Transparency, Model Diagnostics, Discrete Data, Network Inference, Statistical Inference/Machine Learning in Finance/Information Systems.Selected Scholarly/Creative Work
- Zhu, X., Lin, Z., Liu, D., & Greenwell, B. (2024). SurrogateRsq: An R Package for Categorical Data Goodness-of-Fit Analysis Using the Surrogate R2. The New England Journal of Statistics in Data Science, 1–12. Retrieved from https://nejsds.nestat.org/journal/NEJSDS/article/77/text
- Liu, D., Zhu, X., Greenwell, B., & Lin, Z. (2022). A new goodness-of-fit measure for probit models: Surrogate R2. British Journal of Mathematical and Statistical Psychology, 76(1), 192–210. Retrieved from https://bpspsychub.onlinelibrary.wiley.com/doi/full/10.1111/bmsp.12289