Qin Wang
Assistant Professor
Department of
Statistical Sciences & Operations Research
Virginia Commonwealth University
4134 Grace E. Harris Hall
1015 Floyd Avenue, PO Box 843083
Richmond, VA 23284
Phone : (804) 828-1316
Email : qwang3@vcu.edu
- Education:
- Research Interest:
- Dimension reduction and variable selection
- Nonparametric statistical methods
- Multivariate data analysis
- Statistical application
- Teaching Experience:
- Honor and Awards:
- Laha travel Award, Institute of Mathematical Statistics, 2009.
- Dissertation Completion Award, Graduate School,
The University of Georgia, 2008-2009.
- Outstanding Teaching Assistant Award, The University of Georgia, 2008.
- Best Senior Student, Department of Statistics,
The University of Georgia, 2007.
- Best Beginning Theoretical Student, Department of
Statistics,The University of Georgia, 2005.
- Papers and Manuscripts:
- Yin, X., Wang, Q., Li, B. and Tang, Z. (2009). Localized sufficient dimension reduction, to be submitted.
- Wang, Q. and Yin, X. (2008). Sufficient dimension reduction and variable selection for regression mean function with two
types of predictors.
Statistics and Probability Letters, 78, 2798-2803.
- Wang, Q. and Yin, X. (2008). A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE.
Computational
Statistics and Data Analysis, 52, 4512-4520.
- Dong, W., Tang, X., Yu, Y., Griffith, J., Nilsen, R., Choi, D., Baldwin, J., Hilton, L., Kelps, K., McGuire, J., Morgan, R., Smith, M., Case, M., Arnold, J., Schuttler, H.-B.,Wang, Q., Liu, J., Reeves, J., Logan, D. (2007). Systems biology of the Neurospora biological clock. IET Systems Biology (IF=2.143 by 2008), 1(5), 257-265.
- Arnold, J., W. Dong, J. Griffith, D. Choi, J. Baldwin, L. Hilton, K. Kelps, J. McGuire, R. Morgan, M. Smith, Q. Wang, J. Liu, J. Reeves, D.A. Logan, M.E. Case, and H.-B. Schuttler (2006). Systems biology of the biological clock. IEEE Proceedings of the First International Conference on Computational Systems Biology (ICCSB-2006), 119-125.
- Presentations:
- Variable selection for high dimensional data: Sparse MAVE. Joint Statistical Meetings, Washington DC, Aug 2009.
- Localized sufficient dimension reduction. The 12th IMS New Researchers Conference, Johns Hopkins University,
Baltimore, MD, July 2009.
- Sparse sufficient dimension reduction through localization. Department of Experimental Statistics, Louisiana State University. November, 2008.
- Sparse sufficient dimension reduction. Graduate student seminar, Department of Statistics, the University of Georgia.
November, 2008.
- Some useful statistics links
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