Min Wang - Michigan Technological University

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Min Wang
Contact
Information
Department of Mathematical Sciences
Michigan Technological University
1400 Townsend Drive
Houghton, Michigan 49931-1295
Research
Interests
Bayesian Statistics, Applied Statistics, Quality and Reliability Engineering, Multivariate Analysis, Statistical Decision Theory, Statistical Computing.
Employment
Phone: 906-487-2905
Fax: 906-487-3133
Email: [email protected]
• Tenure-track Assistant Professor of Statistics, Department of Mathematical Sciences, Michigan Technological University, 2013 − present.
• Graduate Teacher of Record, Department of Mathematical Sciences, Clemson University, 2010 − 2013.
• Graduate Teaching/Lab Assistant, Department of Mathematical Sciences, Clemson
University, 2008 − 2013.
Education
• Ph.D. in Statistics, Department of Mathematical Sciences, Clemson University,
Clemson, USA, May 2013
Thesis Title: Bayesian hypothesis testing and variable selection in high dimensional
regression.
Advisor : Dr. Xiaoqian Sun.
• M.S. in Statistics, Department of Mathematical Sciences, Clemson University, Clemson, USA, May 2010
Thesis Title: Bayesian variable selection with correlated predictors in linear models.
Advisor : Dr. Xiaoqian Sun.
• B.A. in Mathematics and Statistics, Department of Mathematics and Statistics,
Concordia University, Montreal, Canada, December, 2007.
Memberships
• Member, ISBA (International Society for Bayesian Analysis), 2013 − present.
• Member, ASA (American Statistical Association), 2012 − present.
• Member, IMS (Institute of Mathematical Statistics), 2010 − present.
Journal
Refereeing
Journal of Applied Statistics, Journal of Computational Statistics, Journal of Statistical
Distributions and Applications, Pakistan Journal of Statistics and Operation Research,
International Journal of Systems Assurance Engineering and Management, Journal of
Behavioral Health Services & Research.
Honors and
Awards
• Junior Faculty Research Award, Department of Mathematical Sciences, Michigan
Technological University, 2013 − 2014.
• Graduate Assistance Award for Excellence in Teaching, Department of Mathematical Sciences, Clemson University, 2011 − 2012.
• Outstanding Masters Student Award, Department of Mathematical Sciences, Clemson University, April 2010.
Curriculum Vitae, Min Wang, 1
Grant Proposal
Experience
3. Shivam Bharti (PI), Jingfeng Jiang (co-PI), and M. Wang (co-PI). Translating
automated flow analysis into a clinical setting. University of Michigan-MI Initiative for Innovation and Entrepreneurship (MIIE), 07/01/2014 - 06/30/2015 for
$43, 882.
2. Jason Carter (PI). Sleep Deprivation and Neural Cardiovascular Control in Postmenopausal Women. National Institutes of Health R15 grant (1R15HL12291901), 09/01/2014 - 08/03/2017. Role: Statistical Consultant.
1. Jason Carter (PI). Alcohol and Neurovascular Control in Humans. National
Institutes of Health R15 grant, 2014. Pending. Role: Statistical Consultant.
Publications
Refereed Journal Publications (*Graduate Student)
13. M. Wang and T. Lu (2015), A matching prior for the shape parameter of the
exponential power distribution. Statistics & Probability Letters, 97, 150−154.
12. M. Wang and W. Wang* (2014), Bias-corrected maximum likelihood estimation of the parameters of the weighted Lindley distribution. Communications in
Statistics - Computation and Simulation. In Press.
11. M. Wang, X. Sun and T. Lu (2014), Bayesian structured variable selection in
linear regression models. Journal of Computational Statistics. In Press. [pdf].
10. M. Wang and I. Elbatal (2014), The modified Weibull geometric distribution.
Metron. In Press. [pdf]
9. K. Hungwe, S. Sorby, R. Molzon, P. Charlesworth and M. Wang (2014), Supporting the development of spatial visualization in middle grade and high school
students. Journal of Women and Minorities in Science and Education, 20,
379−393 [pdf].
8. T. Lu and M. Wang (2014), Nonlinear mixed-effects HIV dynamic models with
considering left-censored measurements. Journal of Statistical Distributions and
Applications. 1, 1−13 (Special issue for ICOSDA 2013). [pdf].
7. 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 [pdf].
6. M. Wang and X. Sun (2014), Bayes factor consistency for one-way ANOVA
random effects models. Communications in Statistics - Theory and Methods, 43,
5702−5090 [pdf].
5. T. Lu, Y. Huang, M. Wang and F. Qian (2014), A refined parameter estimating
approach for HIV dynamic model. Journal of Applied Statistics, 41, 1645−1657.
[pdf].
4. M. Wang, J. Zhao, X. Sun and C. Park (2013), Robust explicit estimation of the
two-parameter Birnbaum-Saunders distribution. Journal of Applied Statistics,
40, 2259−2274 [pdf].
3. P. Merritt, G. Cobb, M. Wang, P. Schnarrs and S. Jack∗ (2013), Can a gay
man play it straight? How being ‘out’ influences perceptions of masculinity and
performance appraisal. Psychology of Popular Media Culture, 2, 150−160 [pdf].
2. M. Wang and X. Sun (2013), Bayes factor consistency for unbalanced ANOVA
models. Statistics: A Journal of Theoretical and Applied Statistics, 47, 1104−1115
[pdf].
1. M. Wang and X. Sun (2012), Bayesian inference for the correlation coefficient in
two seemingly unrelated regressions. Computational Statistics & Data Analysis,
56, 2442−2453 [pdf].
Curriculum Vitae, Min Wang, 2
Papers Submitted or Under Revision
4. M. Wang, X. Sun and C. Park (2014), Bayesian inference of the BirnbaumSaunders distribution via the generalized ratio-of-uniforms method. Journal of
Computational Statistics. Under revision.
3. M. Wang and Y. Maruyama (2014), Consistency of Bayes factor for nonnested
model selection when the model dimension grows. Submitted.
2. T. Lu, M. Wang, M. Yang and R. Leung (2014), Experimental design for nonlinear dynamic gene regulatory network through differential equation models.
Submitted.
1. M. Wang, C. Park and X. Sun (2014), Simple closed-form robust parameter
estimator for the Birnbaum-Saunders distribution. Submitted.
Work in Progress
6. S. Tu, M. Wang and X. Sun (2014+), Bayesian analysis of two-piece locationscale models.
5. M. Wang (2014+), A new three parameter lifetime distribution and associated
inference. [pdf].
4. P. Merritt, G. I. Cook, K. B. Lyle and M. Wang (2014+), List composition
affects metacognitive monitoring of emotional valence.
3. P. Merritt, G. Cook and M. Wang (2014+), Erlebacher’s method for contrasting
the within and between-subjects manipulation of the independent variable using
R and SPSS. [pdf].
2. S. Kang∗ and M. Wang (2014+), A new Bayesian two-sided test for normal
distribution with restricted parameter space.
1. M. Wang, X. Sun and P. Merritt (2014+), An explicit Bayes factor for hypothesis
testing in ANOVA designs.
Presentations
9. A simple two-sample Bayesian t-test for hypothesis testing, Annual UP MAA
Meeting, Northern Michigan University, MI, October, 2014.
8. Bayesian structured variable selection in linear regression models. Joint Statistical Meetings 2014, Boston, Massachusetts, August, 2014.
7. Bayesian structured variable selection in linear regression models, NBER-NSF
Seminar on Bayesian Inference in Econometrics and Statistics, University of
Chicago, May, 2014.
6. List composition affects metacognitive monitoring of emotional valence. North
Carolina Cognition Conference, Durham, NC, March, 2014. Oral presentation
by Paul Merritt.
5. A new three-parameter lifetime distribution and associated inference, International Conference on Statistical Distributions and Applications, Central Michigan
University, MI, October, 2013.
4. A new three-parameter lifetime distribution and associated inference, Annual UP
MAA Meeting, Michigan Technological University, MI, October, 2013.
3. A new Bayesian strength of evidence for testing a point null hypothesis, Colloquium, Department of Mathematical Sciences, Michigan Technological University,
MI, January, 2013.
2. A new Bayesian strength of evidence for testing a point null hypothesis via divergence measures, Colloquium, Department of Statistics and Probability, Michigan
State University, MI, January, 2013.
Curriculum Vitae, Min Wang, 3
1. A new Bayesian strength of evidence for a point null hypothesis testing using
divergence measures. Statistics & Probability Seminar, Clemson University, SC,
October, 2012.
Posters
4. S. Tu, M. Wang and X. Sun, Bayesian inference of the asymmetric Laplace
distribution with partial information, ENAR 2014: Baltimore, MD, March 2014.
3. M. Wang and W. Wang*, Bias-corrected maximum likelihood estimation of the
parameters of the weighted Lindley distribution Graduate Research Colloquium,
Michigan Technological University, MI, February 2014.
2. M. Wang, X. Sun and P. Merritt, An explicit Bayes factor for hypothesis testing
in ANOVA designs, OBayes 2013: Celebrating 250 Years of Bayes, Durham, NC,
December 2013.
1. S. Tu, M. Wang and X. Sun, Bayesian analysis of the asymmetric Laplace
distribution with partial information OBayes 2013: Celebrating 250 Years of
Bayes, Durham, NC, December 2013.
Computer
Skills
Operating Systems:
Programming:
Applications:
Teaching
Windows XP/Vista/7, Linux
Proficiency in Matlab, R, S-PLUS, SAS, SPSS, Maple,
Mathematica, Minitab, and Lindo
Extensive knowledge and use of LATEX and Microsoft Office
Michigan Tech University
September 2013 − present
MA3750 Introduction to SAS Programming, Spring 2015
MA3710 Engineering Statistics, Spring 2015
MA6700 Bayesian Statistics (independent study), Fall 2014
MA5731 Linear Models, Fall 2014
MA5999 Graduate Research in Math, Spring 2014, Fall 2014
MA3740 Statistical Programming and Analysis, Fall 2013, Fall 2014
MA3710 Engineering Statistics, Fall 2013, Spring 2014
Clemson University
January 2010 − May 2013
MthSc203
Elementary Statistical Inference, Spring 2012, Fall 2012, Spring 2013
MthSc309
Introductory Business Statistics, Fall 2011
MthSc101
Essential Mathematics for the Informed Society, Fall 2010, Spring 2011
MthSc199L Problem Solving in Mathematics Lab, Spring 2010, Summer II 2011
Student
Advising
Ge (Lilia) Feng
Shengnan (Nancy) Li
Shuaimin Kang
Wentao Wang
Thesis
Committees
Shawn O’Neil
Zhe Lu
Yan Yu
Fei Li
Shengnan Li
Ph.D. in Mathematical Sciences
Ph.D. in Mathematical Sciences
MS in Mathematical Sciences
MS in Mathematical Sciences
In
In
In
In
Ph.D. in Forest Science (Proposal Defense)
MS in Computer Science
MS in Applied Natural Resource Economics
MS in Applied Natural Resource Economics
MS in Applied Natural Resource Economics
progress
progress
progress
progress
November, 2014
August, 2014
July, 2014
July, 2014
February, 2014
Curriculum Vitae, Min Wang, 4
Departmental
Service
Wrote and graded qualify exam in Mathematical Statistics
References
Available upon request.
Member recruitment committee
Member recruitment committee
Member graduate committee
Member graduate committee
Wrote and graded comprehensive exam in Linear Models
January, 2014
September, 2014
2014 − 2015
2013 − 2014
2014 − 2015
2013 − 2014
September, 2013
Last updated: November, 19, 2014
Curriculum Vitae, Min Wang, 5
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