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