Junfeng Shang

Shang JunfengProfessor and Chair

Phone: 419-372-7457
Email: jshang@bgsu.edu
Address: Office: 458 Mathematical Sciences Building
Department of Mathematics and Statistics
Bowling Green State University
Bowling Green, OH 43403-0206

Research Interests

  • Mixed Models and Generalized Linear Models
  • Model Selection and Modeling Diagnostics
  • Multiple Comparison Procedures
  • Bayesian Analysis
  • Biostatistics

Education

  • Ph.D., Statistics, University of Missouri, Columbia, 2005

Selected Publications

Lee, Y. and Shang, J. (2021). Estimation and Selection in Linear Mixed Models with Missing Data under Compound Symmetric Structure. Journal of Applied Statistics. https://www.tandfonline.com/doi/abs/10.1080/02664763.2021.1969342.  

Xiong, J. and Shang, J. (2021). A penalized approach to mixed model selection via cross-validation. Communications in Statistics-Theory and Methods, 50, 2481-2507.

Switlyk, V. and Shang, J. (2019). Comparison of models for the prediction of the stock price. Journal of Mathematics and Statistics, 15, 233-249.

Pan, J. and Shang, J. (2018). A simultaneous variable selection methodology for linear mixed models. Journal of Statistical Computation and Simulation, 88(17), 3323-3337.

Pan, J. and Shang, J. (2018). Adaptive Lasso for linear mixed model selection via profile loglikelihood. Communications in Statistics-Theory and Methods, 47(8), 1882-1900.

Pan, J. and Shang, J. (2017). Prediction of colon cancer expense via adaptive penalized mixed model selection. Mathematica in Engineering, Science and Aerospace (MESA), 8(2), 253-264.

Shang, J. (2016). A diagnostic of influential cases based on the Information Complexity Criteria in generalized linear mixed models. Communications in Statistics-Theory and Methods, 45 (13), 3751-3760.

Wenren, C., Shang, J. and Pan, J. (2016). Marginal conceptual predictive statistic for mixed model selection. Open Journal of Statistics, 6, 239-253.

Wenren, C. and Shang, J. (2016). Conditional conceptual predictive statistic for mixed model selection. Journal of Applied Statistics, 43 (4), 585-603.

Luo, J. and Shang, J. (2016). Exploratory data analysis on the unemployment rates in USA. Advances and Applications in Statistics, 48 (4), 303-316. 

Updated: 09/02/2021 03:57PM