Min Wang

Min Wang


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Assistant Professor, Mathematical Sciences

  • PhD, Statistics, Clemson University


Min Wang graduated from Concordia University in December 2007 with major in Mathematics and Statistics, and then went on to earn an M.S. and Ph.D. from Clemson University, where his research mainly focused on Bayesian hypothesis testing and variable selection in high dimensional regression. After finishing his Ph.D. in May 2013, Dr. Wang joined the faculty of Michigan Tech University in August 2013 as a member of the Department of Mathematical Sciences. His teaching interests include engineering statistics, statistical programming, and linear models. His current research lies broadly in the areas of Bayesian statistics, multivariate analysis, statistical modelling, and quality and reliability engineering, all in the pragmatic and theoretical aspects. 

Links of Interest

Areas of Expertise

  • Bayesian Statistics
  • Statistical Computing
  • Bayesian Modeling
  • Statistical Consulting

Recent Publications

  • S. Tu, M. Wang and X. Sun (2016). Bayesian analysis of two-piece location–scale models under reference priors with partial information. Computational Statistics & Data Analysis, 96, 133-144. Read More
  • M. Wang and Y. Maruyama (2015). Consistency of Bayes factor for nonnested model selection when the model dimension grows. To appear in Bernoulli. Read More
  • M. Wang and G. Liu (2015). A simple two-sample Bayesian t-test for hypothesis testing. To appear in The American Statistician. Read More
  • T. Lu, M. Wang, G. Liu, G. Dong, and F. Qian (2015). Mixed-effects varying-coefficient model with skewed distribution coupled with cause-specific varying-coefficient hazard model with random-effects for longitudinal-competing risks data analysis. To appear in Journal of Biopharmaceutical Statistics. Read More
  • S. Kang*, M. Wang and T. Lu (2015). Posterior property of Student-t linear regression model using objective priors. Statistics & Probability Letters, 103, 17-23. Read More
  • M. Wang and T. Lu (2015), A matching prior for the shape parameter of the exponential power distribution. Statistics & Probability Letters, 97, 150-154. Read More
  • M. Wang and X. Sun (2014). Bayes factor consistency for nested linear models with a growing number of parameters. Journal of Statistical Planning and Inference. 147, 95-105. Read More

Teaching Experience

  • MA3710 Engineering Statistics
  • MA3740 Stat Programming and Analysis
  • MA3750 Intro to SAS Programming
  • MA5731 Linear Models
  • MA5770 Bayesian Statistics