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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

  • 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
  • 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, 33, 839-847. doi: 10.1002/rcm.8416
  • 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