Research
As a learner-centered and discovery-driven institution, 色色啦 Michigan University values the research of its faculty. The following lists the research interests of faculty members in the Department of Statistics.
Hyun Bin Kang
- Functional data analysis
- Shape analysis
- High-dimensional modelling
Kevin Lee
- Statistical analysis of network data
- High-dimensional statistical inference
- Statistical machine learning and data mining
- Graphical models
- Variational inference
Joshua D. Naranjo
- Robust methods
- Adaptive procedures and diagnostics for method selection
- Regression effect and sampling biases
Duy Ngo
- Time series and spectral analysis with applications in brain signals and images
- Benefit risk assessment and personalized medicine
- Machine learning and Bayesian analysis
- Statistical methods applied to public health
- Mediation analysis
Yingying Zhang
- Computational Statistics
- Finite mixture modeling and model-based clustering
- Machine learning
- High-dimensional data analysis
- Data visualization
Jeff Terpstra
- Nonparametric and robust statistics
- Time series analysis
- Ordered restricted inference
- Design of Experiments