Dr. Gang Shen

Associate Professor
Mathematical Statistics, Asymptotics Theory, Bayesian Statistics, Change-Point Problems, Computational
Email: Gang.Shen@ndsu.edu
Office:  334 M Minard Hall

Education
  • Ph.D. (2009)-Purdue University
Courses Taught
  • STAT 330:       Introductory Statistics
  • STAT 4/662:    Intro to Experimental Design
  • STAT 4/664:    Discrete Data Analysis
  • STAT 4/671:    Introduction to R
  • STAT 4/672:    Time Series
  • STAT 774:       Generalized Linear Models
  • STAT 786:       Advanced Inference
  • STAT 851:       Bayesian Statistical Inference
Selected Publications

Liu, X., Gao, D. & Shen, G. (2020). Conditional Random Fields with LASSO to classifying the barley genes based on expression level affected by the fungal infection. Journal of Computational Biology, Nov 2020, 1581-1594

Shen, G. & Xu, H. (2013). On the isotonic change-point problem; Journal of nonparametric statistics, 25, 4, 923-937

Melnykov, V. & Shen, G. (2013). Clustering through empirical likelihood ratio; Computational statistics & data analysis, 62, 1-10

Shen, G. (2011), On Periodically Isotonic Climate Change, Stat & Prob Letters, 81, 1627-1634

Shen, G. and Ghosh, J. (2011), Developing a New BIC for Detecting Change-points, Journal of Statistical Planning & Inference, 141, 1436-1447

Top of page