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- Ross McVinish
Dr Ross McVinish
The University of Queensland
Ross McVinish has research interests in applied probability and mathematical modelling in ecology, parasitology and epidemiology. Much of his current research has focussed on conditions under which certain complex models that arise in the study of metapopulations 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. In the past, his research included Bayesian nonparametrics, long range dependence and infinitely divisible distributions.
He is an associate editor for the Australian and New Zealand Journal of Statistics.
Research Interests:
Applied probability
mathematical biology
Stochastic Processes
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
McVinish, R., Barbour A. D., & Pollett P.
(2017). Local approximation of a metapopulation’s equilibrium.
Applied Probability @ The Rock.
McVinish, R., & Hodgkinson L.
(2017). Fast simulation of metapopulation models.
Melbourne-Singapore Probability and Statistics Forum.
Pollett, P., McVinish R., & Chan J.
(2017). Metapopulations in evolving landscapes.
6th Conference on Mathematical Models in Ecology and Evolution (MMEE 2017).
Chan, Y.S., McVinish R., & Pollett P.
(2016). A metapopulation model incorporating landscape dynamics.
2nd International Conference on Current Progress in Mathematics and Sciences (ISCPMS).
Journal Articles
Barbour, A. D., McVinish R., & Pollett P.
(2018). Local approximation of a metapopulation’s equilibrium.
Journal of Mathematical Biology. 77(3), 765 - 793. doi: 10.1007/s00285-018-1231-0
Lester, R. J. G., & McVinish R.
(2016). Does moving up a food chain increase aggregation in parasites?.
Journal of The Royal Society Interface. 13(118), doi: 10.1098/rsif.2016.0102
McVinish, R., Pollett P., & Shausan A.
(2016). Limiting the spread of disease through altered migration patterns.
Journal of Theoretical Biology. 393, 60-66. doi: 10.1016/j.jtbi.2015.12.019
McVinish, R., Pollett P., & Chan Y. S.
(2016). A metapopulation model with Markovian landscape dynamics.
Theoretical Population Biology. 112, 80-96. doi: 10.1016/j.tpb.2016.08.005
Barbour, A. D., McVinish R., & Pollett P.
(2015). Connecting deterministic and stochastic metapopulation models.
Journal of Mathematical Biology. 71(6-7), 1481-1504. doi: 10.1007/s00285-015-0865-4
