Min Wang

Min Wang

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Assistant Professor, Mathematical Sciences

  • PhD, Statistics, Clemson University

Biography

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. 

Areas of Expertise

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

Recent Publications

  • M. Wang (2016). Mixture of g-priors for analysis of variance models with a diverging number of parameters. To appear in Bayesian Analysis. Read More
  • I. Fonkoue, M. Wang and J. Carter (2016). Sympathetic neural reactivity to mental stress in offspring of hypertensive parents: 20 years revisited. To appear in American Journal of Physiology - Heart and Circulatory Physiology. Read More
  • M. Wang and Y. Maruyama (2016). Consistency of Bayes factor for nonnested model selection when the model dimension grows. Bernoulli, 22, 2080 - 2100. Read More
  • 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 G. Liu (2016). A simple two-sample Bayesian t-test for hypothesis testing. The American Statistician, 70, 195-201. Read More
  • T. Lu, M. Wang, G. Liu, G. Dong and F. Qian (2016). 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. Journal of Biopharmaceutical Statistics, 26, 519-533. Read More
  • S. Kang*, M. Wang and T. Lu (2015). On the consistency of the objective Bayes factor for the integral priors in the one-way random effects model. 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

Teaching Experience

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