|Office:||Speakman Hall 348|
|Research Interests:||Sufficient dimension reduction, High-dimensional inference, Machine learning and data mining|
Yuexiao Dong has joined the Fox School as an Assistant Professor in the Statistics Department. Dr. Dong received his Bachelor’s degree in mathematics from Tsinghua University. He obtained his PhD from the statistics department at the Pennsylvania State University in 2009.
Dr. Dong’s research focuses on sufficient dimension reduction and high-dimensional data analysis. His research articles have been published in top-tier journals such as Annals of Statistics and Biometrika. His proposal “New Developments in Sufficient Dimension Reduction” has been funded by National Science Foundation.
- Li, B. and Dong, Y. (2009) Dimension Reduction for Non-Elliptically Distributed Predictors. Annals of Statistics, 37, 1272-1298.
- Dong, Y. and Li, B. (2010) Dimension Reduction for Non-Elliptically Distributed Predictors: Second-Order Methods. Biometrika, 97, 279-294.
- Dong, Y. and Yu, Z. (2012) Dimension Reduction for the Conditional kth Moment via Central Solution Space. Journal of Multivariate Analysis, 112, 207-218.
- Zhu, L. P., Dong, Y., and Li, R. (2013) Semi-Parametric Estimation of Conditional Heteroscedasticity via Single-Index Modeling. Statistica Sinica, 23, 1235-1255.
- Bharadwaj, N. and Dong, Y. (2014) Toward Further Understanding the Market-sensing Capability–Value Creation Relationship. Journal of Product Innovation Management, 31, 799-813.
- Stat 8108: Applied Multivariate Analysis
- Stat 2521: Data Analysis and Statistical Computing
- Stat 8109: Regression and Time Series