Dr. Xin Dang is a professor of Mathematics in the Department of Mathematics at the University of Mississippi.
Research Interests
Dr. Xin Dang’s research focuses on data mining and robust statistics methodology.
She is specifically interested in:
- Robust statistics; outlier identification and robust statistical computing
- Data mining; classification and clustering analysis
- Correlation and dependence
- High dimensional statistical analysis
Publications
Selected Publications:
Xiao, H., Adhikari, R., Chen, Y. and Dang, X. (2025). Maximum Projection Gini Correlation (MaGiC) for Mixed Categorical and Numerical Data. Journal of Statistical Planning and Inference, 239, 106294.
Sang, Y. and Dang, X. (2024). Grouped Feature Screening for Ultrahigh-dimensional Classification via Gini Distance Correlation. Journal of Multivariate Analysis, 204, 105360.
Sang, Y. and Dang, X. (2023). Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K-sample Problem. Electronic Journal of Statistics, 17 (2), 2539-2574.
Michael, C. and Dang, X. (2022). Correlations in Bivariate Pareto Distributions. Journal of Statistical Computation and Simulation, 92 (12), 2501-2524.
Dang, X., Nguyen, D., Chen, Y. and Zhang, J. (2021). A New Gini Correlation between Quantitative and Qualitative Variables. Scandinavian Journal of Statistics, 48 (4), 1314-1343.
Zhang, S., Dang, X., Nguyen, D., Wilkins, D. and Chen. Y. (2021). Estimating Feature - Label Dependence using Gini Distance Statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (6), 1947-1963.
Dang, X., Sang, H. and Weatherall, L. (2019). Gini Covariance Matrix and its Affine Equivariance Version. Statistical Papers, 60 (3), 641–666.
Xiao, Z., Luo, Z., Zhong, B. and Dang, X. (2018). Robust and Efficient Boosting Method Using the Conditional Risk. IEEE Transactions on Neural Networks and Learning Systems, 29 (7), 3069-3083.
Yu, K., Dang, X. and Chen, Y. (2015). Robust Model-based Learning via Spatial-EM Algorithm. IEEE Transactions on Knowledge and Data Engineering, 27(6), 1670-1682.
Dang, X., Keeton, S. and Peng, H. (2009). A Unified Approach for Analyzing Exchangeable Binary Data with Applications to Developmental Toxicity Studies. Statistics in Medicine, 28, 2580-2604.
Courses Taught
- Math 1150 Elementary Statistics
- Math 2612 Unified Calculus & Analytic Geometry II
- Math 2613 Unified Calculus & Analytic Geometry III
- Math 3750 Introduction to Statistics I
- Math 4780 Introduction to Actuarial Science
- Math 5751 Mathematical Statistics I
- Math 5752 Mathematical Statistics II
- Math 7751 Advanced Statistics I
- Math 7752 Advanced Statistics II
Education
Ph.D. Statistics, The University of Texas at Dallas (2005)
M.S. Statistics, The University of Texas at Dallas (2003)
B.S. Applied Math, Chongqing University (1991)