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Department of Mathematics & Statistics
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Professor Richard Barker

Phone: 479-7756

** 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

  • Muir, J. A., Barker, R. J., Hutchinson, M. R., Leroy, B. M., Nicol, S. J., & Scutt Phillips, J. (2022). Estimating post-release mortality of long-line caught tropical tunas in the Pacific Ocean. Fisheries Research, 249, 106194. doi: 10.1016/j.fishres.2021.106194
  • Holmes, J. B., Schofield, M. R., & Barker, R. J. (2021). Pólya‐gamma data augmentation and latent variable models for multivariate binomial data. Journal of the Royal Statistical Society: Series C. Advance online publication. doi: 10.1111/rssc.12528
  • Benshemesh, J., Southwell, D., Barker, R., & McCarthy, M. (2020). Citizen scientists reveal nationwide trends and drivers in the breeding activity of a threatened bird, the malleefowl (Leipoa ocellata). Biological Conservation, 246, 108573. doi: 10.1016/j.biocon.2020.108573
  • Schofield, M. R., & Barker, R. J. (2019). Rejoinder to "On continuous-time capture-recapture in closed populations". Biometrics, 76, 1034-1035. doi: 10.1111/biom.13183
  • 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