Keying Ye, Ph.D.

Professor, Management Science and Statistics

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Bio

Keying Ye is a professor of statistics in the Department of Management Science and Statistics at The University of Texas at San Antonio. He previously worked at Virginia Tech (8/1990-8/2005) and Shanghai Jiaotong University (2/1985-7/1985). He received his Ph.D. degree in statistics from Purdue University, an M.S. degree in mathematics from the Institute of Applied Mathematics of Academia Sinica in China and a B.S. degree in mathematics from Fudan University in China. He has published articles in statistical methodology and application in various journals and books. He teaches a variety of courses and short courses in statistics. Currently he is an associate editor for Bayesian Analysis.

Teaching

  • STA 5093: Introduction to Statistical Inference
  • STA 5103: Applied Statistics
  • STA 5503: Mathematical Statistics I
  • STA 5513: Mathematical Statistics II
  • STA 6003: Statistical Methods in Research and Practice
  • STA 6013: Regression Analysis
  • STA 6113: Applied Bayesian Statistics
  • STA 6923: Introduction to Statistical Learning
  • STA 6933: Advanced Topics in Statistical Learning
  • STA 7503: Advance Inference I
  • STA 7513: Advanced Inference II

Research Interests

  • Bayesian inference and methods
    • Objective Bayesian analysis
    • Normalized power Bayesian analysis
    • Continual Reassessment Method in clinical trials
    • Variable selection and Bayesian model averaging
    • Bayesian experimental design
  • Statistical applications in biostatistics, cyber security, environmental, ecological and geological sciences, experimental design and industrial statistics

Degrees

  • Ph.D. Purdue University
  • M.S. Institute of Applied Mathematics of Academic Sinica
  • B.S. Fudan University

Publications

  • "A study on the power parameter in power prior Bayesian analysis," (with Han, Zifei, Ye, Keying, and Wang, Min), The American Statisticians, Vol. 77, 2023, pp. 12-19.
  • "Normalized Power Prior Bayesian Analysis," (With Han Zifei, Duan Yuyan, and Bai, Tianyu), Journal of Statistical Planning and Inference, Vol. 216, 2022, pp. 29-50.
  • "A system for determining maximum tolerated dose in phase I clinical trial," (With Yang Xiaobin, Ji, Ying, and Wang Min), Statistical Theory and Related Fields, Vol. 5, 2021, pp. 288-302.
  • "Comparing VaR Approximation Methods That Use the First Four Moments As Inputs," (with Donald Lien and Christopher Stroud), Communications in Statistics – Simulation and Computation, Vol. 45, No. 2, 2016, pp. 491-503.
  • "Componentwise Variable Selection in Finite Mixture Regression," (with B. Chen), Statistics and Its Interface, Vol. 8, 2015, pp. 239-254.
  • "An Evasion and Counter-Evasion Study in Malicious Websites Detection," (With Xu Li, Zhan Zhenxin, and Xu Shouhui) proceedings of IEEE CNS 2014 conference, 265-273
  • "An Assessment of the Performance of Bayesian Model Averaging in the Linear Model," in Frontiers of Statistical Decision Making and Bayesian Analysis, Chen, M.H., Dey, D., Mueller, P., Sun, D. and Ye K. eds., 2010 146-155, Springer.
  • "Determining the Number of Clusters Using the Weighted Gap Statistic," Biometrics, Vol. 63, 2007, pp. 1031-1037."Probability matching priors for an extended statistical calibration model." (With Dan Eno), Canadian Journal of Statistics, Vol. 29, No. 1, 2001, pp.19-35.
  • "Reference Priors When the Stopping Rule Depends on the Parameter of Interest," Journal of the American Statistical Association, Vol. 88, 1993, pp. 360-363.
  • "Noninformative Priors for Inferences in Exponential Regression Models," Biometrika, Vol. 78, 1991, pp. 645-656.