Professor Richard Barker
Office:Phone: 479-7756
Email: richard.barker@otago.ac.nz
** Left the Department in 2017 to become the Pro-Vice-Chancellor, Division of Sciences. **
Research Interests and student opportunities.
My recent research and those of current an recently completed graduate students include:
- Bayesian inference for hierarchical models
- Statistical theory, methods and analysis for applications in
- Fisheries and wildlife ecology
- Sport science and exercise physiology
- Climate change
- Theory and analysis of mark-recapture and radio-telemetry data
Current PhD and post-doc opportunities
BUGS code for mark-recapture models
Recent Publications
- Van Hale, R., Schofield, M., Connor, M., Barker, R., & Frew, R. (2019). Stable isotope measurements to differentiate sources of monofluoroacetate in a blackmail case. Rapid Communications in Mass Spectrometry. Advance online publication. doi: 10.1002/rcm.8416
- Gelling, N., Schofield, M. R., & Barker, R. J. (2019). R package rjmcmc: Reversible jump MCMC using post-processing. Australian & New Zealand Journal of Statistics, 61(2), 189-212. doi: 10.1111/anzs.12263
- Schofield, M. R., Barker, R. J., & Gelling, N. (2018). Continuous-time capture—recapture in closed populations. Biometrics, 74(2), 626-635. doi: 10.1111/biom.12763
- Link, W. A., Schofield, M. R., Barker, R. J., & Sauer, J. R. (2018). On the robustness of N-mixture models. Ecology, 99(7), 1547-1551. doi: 10.1002/ecy.2362
- Barker, R. J., Schofield, M. R., Link, W. A., & Sauer, J. R. (2018). On the reliability of N-mixture models for count data. Biometrics, 74(1), 369-377. doi: 10.1111/biom.12734
