Teaching
PhD Students
- Lei Yan Thesis: Statistical Learning with Complex Response Structures Recipient of the inaugural Dean’s Award for Doctoral Excellence, for meritorious performance in the later phases of the doctoral program.
- Kai Deng Thesis: Topics on Mixture models and discriminant analysis Recipient of the R. A. Bradley Award for the Best PhD Dissertation in the department, 2022–2023.
- Sung Hee Park Thesis: Subspace Learning Approaches to Association Analysis for Multi-modal Data
- Jing Zeng Thesis (co-advised with Q. Mai): High-dimensional methods for sufficient dimension reduction, discriminant analysis, and tensor data Recipient of the R. A. Bradley Award for the Best PhD Dissertation in the department, 2021–2022.
- Ning Wang Thesis: Dimension Reduction and Regression for Tensor Data and Mixture Models
- Yuqing Pan Thesis (co-advised with Q. Mai): High-dimensional statistical methods for tensor data and efficient algorithms Recipient of the R. A. Bradley Award for the Best PhD Dissertation in the department, 2018–2019.
- Wenjing Wang Thesis (co-advised with M. Tao): Envelopes, subspace learning and applications
Classes
- STA 5934Tensor and Deep Learning
- STA 5934Iterative Algorithms and Optimization
- STA 5208Linear Statistical Models
- STA 5934Tensor Data Analysis
- STA 5167Statistics in Application II: Applied Linear Regression
- STA 5934Envelopes and Subspace Learning
- STA 4322 / 5325Mathematical Statistics
- STA 4321 / 5323Introductory Mathematical Statistics
- STA 4442 / 5440Introductory Probability
Class websites: please visit Canvas to find course materials.