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

  • 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).

  • 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., Xi, Y., and Arikan, M.: Politics and inventory: An empirical examination of the impact on inventories of CEO political ideology alignment with the US President’s party. To be submitted to Manufacturing & Service Operations Management in Spring 2021.

  • Tan, Y., Shenoy, P. P., and Sherwood, B.: A naïve Bayes penalized logistic regression model for classification. To be submitted to Journal of Machine Learning Research in Spring 2021.

  • Tan, Y., Shenoy, P.P., Sherwood, B., Gaddy, M., Oehlert, M., and Shenoy, C.: A new Bayesian network-based approach for PTSD detection. To be submitted to Journal on Computing in Spring 2021.

  • Li, L, Yang, J., Tan, Y., Li, X., Lin, Y.: Influence mechanism of online Word-of-Mouth on purchase decisions: a deep learning approach.