Statistics Research
The following is a summary of our research interests and activities in statistics. Please see the individual faculty webpages for further details.
- Statistics education (Isberg, Lin, M. Loughin, Perera)
- Stochastic process modelling (Altman, Bégin, Estep, Graham, Lockhart, Lu, Sanders, Tsai)
- Dynamical modelling (Cao, Estep)
- Functional data analysis (Cao, Shi, Wang)
- Longitudinal and correlated data analysis (Altman, Hu)
- Categorical data analysis (Altman, Loughin)
- Goodness-of-fit testing (Lockhart)
- Bayesian analysis (Bingham, Cao, Graham, Shi, Swartz, Wang, Ward)
- Statistical computing and Monte Carlo methods (Cao, Estep, Graham, McNeney, Swartz, Wang, Ward)
- Design of experiments (Bingham, Estep, Loughin, Shi, Tang)
- Statistical/machine learning and data mining (Cao, Elliott, Loughin, Shi, Ward)
- Computational probability (Estep)
Areas of application include:
- Agriculture (Loughin)
- Astronomy (Stenning)
- Ecology and environmental science (Cao, Estep, Loughin)
- Engineering and physics (Bingham, Estep, Lockhart, Loughin, Stenning)
- Genomics, genetics and evolution (Cao, Elliott, Graham, McNeney, Wang)
- Industry and manufacturing (Bingham, Estep, Loughin, Tang)
- Medicine (Altman, Cao, Elliott, Graham, Hu, Loughin, McNeney, Shi)
- Sport (Loughin, Perera, Shi, Swartz)