Junfeng Shang

Professor and Chair

Phone: 419-372-7457
Email: jshang@bgsu.edu
Address: Office: 458 Mitchell B. McLeod Hall
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

 Jiang, J. and Shang, J. (2023). Feature screening for high-dimensional variable selection in generalized linear models. Entropy (Basel), 25(6):851.  

Hapuhinna, N. and Shang, J. (2023). A Bootstrap method for estimation in linear mixed models with heteroscedasticity. Communications in Statistics-Theory and Methods.

Alabiso, A. and Shang, J. (2023). High-dimensional linear mixed model selection by partial correlation. Communications in Statistics-Theory and Methods, 52(18), 6355-6380.  

Ge, W. and Shang, J. (2022). Bootstrap-adjusted quasi-likelihood information criteria for mixed model selection. Journal of Applied Statistics.  

Atutey, O. and Shang, J. (2022). Linear mixed model selection via minimum approximated information criterion. Communications in Statistics-Simulation and Computation.  

Lee, Y. and Shang, J. (2022). Estimation and selection in linear mixed models with missing data under compound symmetric structure. Journal of Applied Statistics, 49 (15), 4003-4027.  

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.