Dr. Yi Tan

Assistant Professor, College of Business

Contact

301 Sparkman Drive
Business Administration Building
Room 363
Huntsville, AL 35899
Campus Map

256.824.6671
yi.tan@uah.edu

Biography

Curriculum Vitae


Education

  • Ph.D., in Analytics, Information, and Operations Management, University of Kansas
  • M.S., in Business Analytics, University of Cincinnati
  • B.S., in Statistics, Wuhan University

Honors & Awards

  • John O. Tollefson Best Paper Award University of Kansas, 2020

Expertise

  • SAS
  • R
  • MATLAB
  • SQL
  • STATA
  • HUGIN
  • GAMS
  • AMPL
  • Arena
  • Crystal Ball

Recent Publications

  • Geng, H., Wang, J., Su, Z., Tan, Y., and Huang S. (2024): Analysts’ initial converage and stock price. International Review of Financial Analysis, 103870.

  • Pham, H., Tan, Y., Singh, T., Pavlopoulos V., and Patnayakuni, R. (2024): A multi-head attention-like feature selection approach for tabular data. Knowledge-Based Systems, 301, 112250.

  • Tan, Y., Shenoy, P. P., and Sherwood, B. (2024): A naïve Bayes regularized logistic regression model for low-dimensional classification. International Journal of Approximate Reasoning, 109239.

  • Tan, Y., Shenoy, P.P., Sherwood, B., Gaddy, M., Oehlert, M., and Shenoy, C. (2024): Bayesian network models for PTSD screening in veterans. INFORMS Journal on Computing, 36(2), 495-509.

  • Tan, Y., and Shenoy, P.P.(2020): A bias-variance based heuristic for constructing a hybrid logistic regression-naive Bayes model for classification. International Journal of Approximate Reasoning, 117,15-28.

  • Tan, Y., Shenoy, P.P., Chan, M.W., and Romberg, P.M.(2016): On construction of hybrid logistic regression-naïve Bayes model for classification. In Proceedings of Machine Learning Research: Conference on Probabilistic Graphical Models (Vol. 52. pp. 523-534).