Xin (Sheen) Dang (CV) Associate Professor Department of Mathematics University of Mississippi University MS 38677-1848 Office: Hume Hall 315 Phone: 662-915-7409 Fax: 662-915-5491 E-mail: xdang at olemiss dot edu

Education

• B.S in Applied Mathematics, Chongqing University, China, 1991
• M.S. in Statistics, University of Texas at Dallas, 2003
• Ph.D in Statistics, University of Texas at Dallas, 2005
        Advisor: Professor Robert Serfling

Research Interests

• Statistics, especially Nonparametric and Robust Multivariate Analysis
  
• Applications of Depth Functions
• Data Mining, Outlier Identification and Cluster Analysis
• Correlated Data Analysis
• Risk and Reliability Analysis

Research Papers Published and Submitted

• Robust Clustering in High Dimensional Data Using Statistical Depths. BMC Bioinformatics 2007, 8 (Suppl 7) (with Y. Ding, H. Peng and D. Wilkins). (Open access online)
• Depth-Based Novelty Detection and its Application to Taxonomic Research. The Seventh IEEE International Conference on Data Mining (ICDM), 113-122, Omaha, Nebraska, October 2007 (with Y. Chen, H. Bart and H. Peng). (pdf)
• Influence Functions of Some Depth Functions, with Application to L-Statistics. Journal of Nonparametric Statistics, 21 (01), 49-66, 2009 (with R. Serfling and W. Zhou). (pdf)
• Outlier Detection with the Kernelized Spatial Depth Function. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2), 288-305, 2009 (With Y. Chen, H. Peng and H. Bart). (pdf)
• A Unified Approach for Analyzing Exchangeable Binary Data with Applications to Developmental Toxicity Studies. Statistics in Medicine, 28, 2580-2604, 2009 (with S. Keeton and H. Peng). (pdf) (code)
• Graph Ranking for Exploratary Gene Data Analysis. BMC Bioinformatics 2009, 10 (Suppl 11) (with C. Gao, Y. Chen and D. Wilkins). (Open access online)
• Nonparametric Depth-Based Multivariate Outlier Identifiers, and Masking Robustness Properties. Journal of Statistical Inference and Planning, 140, 198-213, 2010 (with Robert Serfling). (pdf)
• Projection Based Scatter Depth Functions and Associated Scatter Estimators. Journal of Multivariate Analysis, 101, 138-153, 2010 (with Weihua Zhou). (pdf)
• The Distribution of Partially Exchangeable Random variables. Statistics and Probability Letters, 80, 932-938, 2010 (with H. Peng and X. Wang). (pdf)
• Learning to Rank Using 1-norm Regularization and Convex Hull Reduction, Proceedings of ACM Southeast Conference (ACMSE), April, 2010 (with X. Nan, Y. Chen and D. Wilkins). (pdf)
• A Numerical Study of Multiple Imputation Methods Using Nonparametric Multivariate Outlier Identifiers and Depth-Based Performance Criteria with Clinical Laboratory Data. Journal of Statistical Computation and Simulation, 81, 547-560, 2011 (with Robert Serfling). (pdf)
• Multiclass Classification with Potential Function Rules: Margin Distribution and Generalization. Pattern Recognition, to appear (with F. Teng, Y. Chen). (pdf)
• Theil-Sen Estimators in a Multiple Linear Regression Model. (with H. Peng, X. Wang and H. Zhang). (pdf)
• Analyzing Partially Exchangeable Binary Data. (with H. Peng and L. Garner). (pdf) (code)
• Robustness of the Affine Equivariant Scatter Estimator Based on the Spatial Rank Covariance Matrix. (with K. Yu and Y. Chen).(pdf)

Grant Support

• CoPI, "Theil-Sen Estimators in Semiparametric Mixed Models", National Science Foundation, DMS-0707074, 2007-2009
• PI, REU supplemental project, National Science Foundation, DMS-0809018, 2008-2009

Former and Current Doctoral Students

• Cuilan Gao, Graph Ranking with the Kernelized Spatial Depth and Its Applications, 2010
• Kai Yu, Robust Methods Based on Spatial Rank Functions, expected in 2012

Teaching

• Statistical Methods I (Math 675), Fall 11
• Data Analysis with R (Math676), Spring 11
• Bayesian Statistics (Math675), Fall 10
• Statistical Learning I (Math675), Fall 08
• Statistical Learning II (Math676), Spring 09
• Mathematical Statistics I (Math575), Fall 05, Fall 06, Fall 07, Fall 09, Fall 11
• Mathematical Statistics II (Math576), Spring 06, Spring 07, Spring 08, Spring 10
• Introduction to Acturarial Science (Math480), Fall 07, Fall 08
• Introduction to Linear Algebra (Math319), Spring 08
• Introduction to Statistics (Math375), Summer 07, Spring 09, Spring 10
• Calculus III (Math263), Fall 05, Spring 06, Fall 06, Fall 10
• Calculus I (Math261), Summer 09
• Elementary Statistics (Math115), Fall 09

Professional Memberships

• Institute of Mathematical Statistics
• American Statistical Association