|
|
[Print-friendly version]
| Name: |
Prof. Kerrie Mengersen |
| Position: |
Research Professor |
| Qualifications: |
PhD |
| Organisational Area: |
School of Mathematical Sciences |
| Teaching Discipline: |
Statistics |
| Research Program: |
Statistics and Operations Research |
| Phone: |
+61 7 3138 2063 |
| Fax: |
+61 7 3138 2310 |
| Email: |
k.mengersen@qut.edu.au |
| Postal Address: |
School of Mathematical Sciences, QUT, GPO Box 2434, Brisbane Qld 4001 |
Teaching Areas
[back to top]
Areas of Expertise
- Theory and methods of statistical modelling and analysis
- Bayesian statistics
- Computational methods for statistics
- Statistics in environment, health, genetics, imaging
- Statistical consulting
[Further expertise and media contact]
[back to top]
Professional Associations
- Statistical Society of Australia (Accredited Statistician, Executive Member, Journal Editor)
- Institute of Mathematical Statistics (Elected Fellow), incl. International Society for Bayesian Analysis (Executive Member)
- Royal Statistical Society
[back to top]
Current Grants
- ARC Linkage with Energy Networks Association
- ARC Discovery Project on Doing Bayesian Analysis Better
- ARC Centre of Excellence in Dynamic Systems and Control
- ARC Discovery Project on Bayesian statistics
- ARC Linkage Projects with Dept Natural Resources and Environmental Protection Agency
- ARC Linkage Projects with the Wesley Hospital Research Institute and St Andrews War Memorial Hospital Medical Institute
- Funded research and consultancy projects with local and national businesses, industries and agencies.
[back to top]
Selected Research Projects
- Bayesian learning: theory, methods and computation
- Statistical modelling and analysis in environment
- Statisitcal methods for high throughput genetic genomics
- Bayesian methods for image classification with applications in biometrics and medicine
- Biostatistics research in environmental health and medicine
[back to top]
Selected Publications
- Marin, J.-M., Mengersen, K., Robert, C.P. (2005) Bayesian Mixtures. Handbook of Statistics Vol. 25, on Bayesian Statistics. Editors D. Dey and C.R. Rao. Elsevier. (50 pp.)
- Mengersen, K.L. (2005) Markov chain Monte Carlo: An Update. Encyclopedia of Biostatistics. Editors P. Armitage and T. Colton. Wiley and Sons Ltd, Chichester. ISBN 0-470-84907-X
- Alston, C.L., Mengersen, K.L., Robert, C.P., Thompson, J.M., Littlefield, P.J., Perry, L.D., Ball, A.J. (2006) Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images. J. Computational Statistics and Data Analysis. 51(9), 4282-4296
- Denham, R., Mengersen, K. (2007) Eliciting expert opinion for regression models with geographical data. J. Bayesian Analysis. 2(1), 99-136.
- Besag, J., Green, P., Higdon, D., Mengersen, K. (1995) Bayesian computation and stochastic systems. Statist. Science 10, 3-66.
[Additional Publications]
Download CV [PDF]
[back to top]
Current Postgraduate Students
| Name |
Project |
| Carla Chen (PhD) |
Integrated statistical methods for the genetics of complex diseases |
| Margaret Donald (PhD) |
Health risks associated with recycled water (a Bayesian analysis) |
| Matt Falk (PhD) |
Incorporating uncertainty in environmental models - collaborative with Dept Natural Resources Mines and Water |
| Sandra Johnson (PhD) |
Bayesian networks - collaborative with Healthy Waterways |
| Kate Lee (PhD) |
Computational methods for Bayesian analysis - collaborative with Centre for Dynamic Systems and Control |
| Chris Oldmeadow (PhD) |
Statistical genetics - collaborative with Queensland Institute of Medical Research |
| Rebecca O'Leary (PhD) |
Elicitation and integration of expert information in Bayesian analysis |
| Margaret Rolfe (PhD) |
Latent variable models in health - collaborative with Wesley Hospital Research Institute |
| Ian Smith (PhD) |
Statistical approaches to sequential performance monitoring in clinical governance |
| Mark Stanaway (PhD) |
Surveillance System Evaluation and Optimisation for Emergency Plant Pests |
| Darren Wraith (PhD) |
Bayesian multivariate risk assessment in environmental health - collaborative with School of Public Health and WHO International Laboratory for Air Quality and Health |
[back to top]
|
