Contact informaion

104 Heroy Science Hall
3225 Daniel Avenue
Dallas, TX 75275-0332
Tel.: (214) 768-2459
Fax: (214) 768-4035
swang AT smu DOT edu

Xinlei (Sherry) Wang, Ph.D.

2015- Professor
Department of Statistical Science, SMU
Associate Professor
Department of Statistical Science, SMU
2003-2009 Assistant Professor
Department of Statistical Science, SMU


2002 Ph.D. in Statistics McCombs School of Business, University of Texas at Austin, TX.
1998 M.A. in Statistics
Department of Statistics, University of Pittsburgh, PA.
1997 B.S. in Automatic Control
Dept. of Automation, Univ. of Science & Technology of China, Hefei, China.

Research Interests

  • Bayesian Methods and Applications
    (Hierarchical Modeling & Spatial Modeling & Integrated Modeling)
  • Ranked Set Sampling and Judgment Post-stratification
  • Integrative Analysis of Large-scaled, High-dimensional Biomedical Data
  • Advanced Statistical Modeling for Sequencing Data


STAT 2331–Introduction to Statistical Methods
STAT 6390–Bayesian Data Analysis
STAT 6377–Categorical Data Analysis

Refereed Research Papers

1.  Gao, Y., L. Lu, and X. Wang (2006). Significance calculation and a new analysis method in searching for new physics at the LHC. The European Physical Journal C-Particles and Fields 45(3), 659–667.

2.  Wang, X., J. Lim, and S. L. Stokes (2006). Forming post-strata via Bayesian treed capture-recapture models. Biometrika 93(4), 861–876.

3.  Wang, X., L. Stokes, J. Lim, and M. Chen (2006). Concomitants of multivariate order statistics with application to judgment poststratification. Journal of the American Statistical Association 101(476).

4.  Abu-Nimeh, S., D. Nappa, X. Wang, and S. Nair (2007). A comparison of machine learning techniques for phishing detection. In: Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit. ACM, pp.60–69.

5.  Lim, J., X. Wang, and M. Sherman (2007). An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model. Computational statistics & data analysis 51(8), 3679–3688.

6.  Stokes, S., X. Wang, and M. Chen (2007). Judgment post-stratification with multiple rankers. Journal of Statistical Theory and Applications 6, 344–356.

7.  Wang, X. and E. I. George (2007). Adaptive Bayesian criteria in variable selection for generalized linear models. Statistica Sinica 17(2), 667.

8.  Abu-Nimeh, S., D. Nappa, X. Wang, and S. Nair (2008). A distributed architecture for phishing detection using Bayesian Additive Regression Trees. In: eCrime Researchers Summit, 2008. IEEE, pp.1–10.

9.  Abu-Nimeh, S., D. Nappa, X. Wang, and S. Nair (2008). Bayesian additive regression trees-based spam detection for enhanced email privacy. In: Availability, Reliability and Security, 2008. ARES 08. Third International Conference on. IEEE, pp.1044–1051.

10.  Lim, J., X. Wang, S. Lee, and S.-H. Jung (2008). A distribution-free test of constant mean in linear mixed effects models. Statistics in medicine 27(19), 3833–3846. PMID: 18407571.

11.  Wang, X., J. Lim, and L. Stokes (2008). A nonparametric mean estimator for judgment poststratified data. Biometrics 64(2), 355–363. PMID: 18325072.

12.  Abu-Nimeh, S., D. Nappa, X. Wang, and S. Nair (2009). Distributed phishing detection by applying variable selection using Bayesian additive regression trees. In: Communications, 2009. ICC’09. IEEE International Conference on. IEEE, pp.1–5.

13.  Abu-Nimeh, S., D. Nappa, X. Wang, and S. Nair (2009). “Hardening Email Security via Bayesian Additive Regression Trees.” In: Machine Learning. I-Tech Education and Publishing KG.

14.  Lim, J., S. J. Kim, and X. Wang (2009). Estimating stochastically ordered survival functions via geometric programming. Journal of Computational and Graphical Statistics 18(4).

15.  Lim, J., X. Wang, and W. Choi (2009). Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. Computational Statistics & Data Analysis 53(4), 889–893.

16.  Xie, Y., X. Wang, and M. Story (2009). Statistical methods of background correction for Illumina BeadArray data. Bioinformatics 25(6), 751–757. PMID: 19193732.

17.  Chen, M., Y. Xia, and X. Wang (2010). Managing supply uncertainties through Bayesian information update. Automation Science and Engineering, IEEE Transactions on 7(1), 24–36.

18.  Wang, X. and A. F. Karr (2010). Preserving data utility via BART. Journal of Statistical Planning and Inference 140(9), 2551–2561.

19.  Chen, M. and X. Wang (2011). Approximate predictive densities and their applications in generalized linear models. Computational statistics & data analysis 55(4), 1570–1580. PMID: 21516223.

20.  Xiao, G., X. Wang, and A. B. Khodursky (2011). Modeling three-dimensional chromosome structures using gene expression data. Journal of the American Statistical Association 106(493). PMID: 21760653.

21.  Wang, X., M. Chen, A. B. Khodursky, and G. Xiao (2012). Bayesian joint analysis of gene expression data and gene functional annotations. Statistics in Biosciences 4(2), 300–318.

22.  Wang, X., K. Wang, and J. Lim (2012). Isotonized CDF estimation from judgment poststratification data with empty strata. Biometrics 68(1), 194–202. PMID: 21838805.

23.  Chen, M., M. Zang, X. Wang, and G. Xiao (2013). A powerful Bayesian meta-analysis method to integrate multiple gene set enrichment studies. Bioinformatics 29(7), 862–869. PMID: 23418184.

24.  Wang, X., M. Zang, and G. Xiao (June 2013). Epigenetic change detection and pattern recognition via Bayesian hierarchical hidden Markov models. eng. Statistics in Medicine 32(13), 2292–2307. PMID: 23097332.

25.  Xiao, G., X. Wang, Q. LaPlant, E. J. Nestler, and Y. Xie (2013). Detection of epigenetic changes using ANOVA with spatially varying coefficients. Statistical applications in genetics and molecular biology 12(2), 189–205. PMID: 23502341.

26.  Ahn, S., J. Lim, and X. Wang (2014). The Student’s t Approximation to Distributions of Pivotal Statistics from Ranked Set Samples. Journal of the Korean Statistical Society 43. 643–652.

27.  Chen, M., S. Ahn, X. Wang, and J. Lim (2014). Generalized Isotonized Mean Estimators for Judgment Post-stratification with Multiple Rankers. Journal of Agricultural, Biological, and Environmental Statistics 19, 405–418.

28.  Lim, J., M. Chen, S. Park, X. Wang, and L. Stokes (2014). Kernel Density Estimator from Ranked Set Samples. Communications in Statistics-Theory and Methods 43. 2156–2168.

29.  Wang, X., J. Lim, S. J. Kim, and K. S. Hahn (2014). Estimating Cell Probabilities in Contingency Tables with Constraints on Marginals/Conditionals by Geometric Programming with Applications. Computational Statistics 30, 107–129.

30.  Yang, J., X. Wang, M. Kim, Y. Xie, and G. Xiao (2014). Detection of candidate tumor driver genes using a fully integrated Bayesian approach. Statistics in Medicine 33(10), 1784–1800.

31.  Wang, X., J. Lim, and L. Stokes (2015). Using Ranked Set Sampling with Cluster Randomized Designs for Improved Inference on Treatment Effects. Journal of the American Statistical Association, Accepted.

32.  Zang, X., M. Chen, Y. Zhou, G. Xiao, X. Yang, and X. Wang (2015). Identification of CDKN3 Gene Expression as a Prognostic Biomarker in Lung Adenocarcinoma via Meta-analysis. Cancer Informatics Suppl. 2, 183–191.

Doctoral Students Supervised

Advisor of Ou Bai
“Two Topics in Statistics: Bayesian Meta-analysis of Rare Binary Adverse Event Data & Using Ranked Set Sampling with Randomized Block Designs,” Ph.D. in Statistical Science, 2014.
Advisor of Miao Zang “Bayesian Meta-Analysis of Pathway Enrichment Analysis,” Ph.D. in Statistical Science, 2012.
Co-advisor of Holly Stovall
“Ranked Set Sampling and its Applications in Educational Statistics,” Ph.D. in Statistical Science, 2012 (Advisor: Prof. Lynne Stokes).
Advisor of Ke Wang

“Estimating Cumulative Distribution Functions from JPS Data with Empty Strata and Analyzing High-Throughput Data via Hierarchical Bayesian Spatial Modeling,”
Ph.D. in Statistical Science, 2012.
Advisor of Dario Nappa “Bayesian Classification Using Bayesian Additive Regression Trees,” Ph.D. in Statistical Science, 2008.
Co-advisor of Saeed Abu Nimeh
“Phishing Detection Using Distributed Bayesian Additive Regression Trees,” Ph.D. in Computer Science, 2008 (Advisor: Prof. Suku Nair).

Current Doctoral Students

Advisor of Wentao Lu
Advisor of Nathan Li
Advisor of Mumu Wang
Advisor of Lily Xue