Center for Computational and Graphical Statistics (CCGS)
- Increase the visibility of computational statistics, statistical
computing and statistical graphics research on campus, among the broader
academic community, and society.
- Support students by providing an environment fostering
research on computing and graphics.
- Encourage collaboration between members of the Statistics
Department and across Campus with interests in computing and graphics.
- Develop courses in computing and graphics for the department,
and address university needs.
- Provide expertise to the university community.
- Dianne Cook
Dynamic graphics, exploratory data analysis, multivariate methods,
- Ulrike Genschel
- Heike Hofmann
Graphical data analysis, multivariate categorical data, interactive
graphical systems, large data
- Ranjan Maitra
Analysis of Massive Datasets, Clustering, Data Mining, Finite Mixture Models, Image Analysis, functional Magnetic Resonance Imaging, Tomography, Statistical Computing, Simulation Algorithms.
- Mervyn Marasinghe
Statistical computing, linear models, graphical statistics
- Bill Meeker
Industrial statistics, reliability, statistical computing
Bayesian methods, spatio-temporal modeling, disease outbreaks, computational statistics
Convergence rates of Markov chain Monte Carlo algorithms, Bayesian
- Graduate Students:
- Xiaoyue Cheng
- Niladri Roy Chowdhuri
- Teng Fei, MCDB
- Dason Kurkiewicz
- Adam Loy
- Mahbub Majumder
- Karsten Maurer
- Lawrence Mosley
- Marie Vendettuoli, BCB
- Yihui Xie