Dr Ross McVinish

Research Fellow

Faculty of Science
+61 7 336 53116


Ross McVinish has research interests in applied probability, Bayesian statistics and mathematical modelling of complex systems in population biology.

He received his PhD from Queensland University of Technology in 2002.

He is currently an associate editor for the Australian and New Zealand Journal of Statistics.

Research Interests

  • Analysis of metapopulation models
    Metapopulations are typically modelled by Markov chains having complex structure and large state-space which makes their behaviour difficult to analyse. I have studied conditions under which these metapopulation models can be approximated by simpler deterministic, Gaussian and point process models. These approximations can be used to improve our understanding of the conditions needed for a metapopulation to persist or recover from a near extinction state.
  • Bayesian goodness of fit testing
    The aim is to improve the computational tools and theoretical results available for assessing model fit in a Bayesian setting.


  • Bachelor of Applied Science (Mathematics), Queensland University of Technology
  • Bachelor of Applied Science (Hons), Queensland University of Technology
  • Doctor of Philosophy, Queensland University of Technology


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View all Supervision


Featured Publications

Journal Article

Conference Publication

  • Jovanovic, Dejan P., McVinish, Ross S. and Pollett, Philip K. (2011). Fault modelling using a mixture of conditional Gaussian transitions. In: Argyrios Zolotas, Proceedings of the 19th Mediterranean Conference on Control and Automation. 19th Mediterranean Conference on Control and Automation, Corfu, Greece, (472-478). 20-23 June 2011. doi:10.1109/MED.2011.5983194

  • McVinish, R. and Pollett, P. K. (2011). Interaction between habitat quality and an Allee-like effect in metapopulations. In: F. Chan, D. Marinova and R. S. Anderssen, Proceedings of the 19th International Congress on Modelling and Simulation (MODSIM2011). 19th International Congress on Modelling and Simulation (MODSIM2011), Perth, Australia, (2254-2260). 12-16 December 2011.

  • McVinish, Ross S., Braslavsky, .Julio H. and Mengersen, Kerrie L. (2006). A Bayesian-Decision Theoretic Approach to Model Error Modeling.. In: Proceedings of the 14th IFAC Symposium on System Identification - SYSID-2006. Symposium on System Identification, Newscastle, Australia, (1015-1020). 29 - 31 March, 2006.

Other Outputs

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Completed Supervision