Dr Ross McVinish
Lecturer
Mathematics
+61 7 336 53116
Priestley Building (67), Room 745
Teaching and learning
Dr McVinish teaches 4th year statistics.
Researcher biography
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.
Journal Articles
                  McVinish, R. (2025). Re-examining the drivers of variation in parasite loads across hosts in the Tallis-Leyton model. Journal of Mathematical Biology, 91 (2) 21. doi: 10.1007/s00285-025-02241-w
                
              
                  McVinish, R. and Lester, R. J. G. (2024). A graphical exploration of the relationship between parasite aggregation indices. PLoS ONE, 19 (12) e0315756, e0315756. doi: 10.1371/journal.pone.0315756
                
              
                  McVinish, Ross, Nazarathy, Yoni and Nguyen, Giang (2022). Modern trends in applied probability closing a special issue of overview papers. Queueing Systems, 100 (1-2), 93-94. doi: 10.1007/s11134-021-09735-6
                
              
                  McVinish, Ross (2022). Dominating occupancy processes by the independent site approximation. Electronic Communications in Probability, 27 (none) 56, 1-10. doi: 10.1214/22-ecp499
                
              
                  McVinish, Ross and Hodgkinson, Liam (2021). Fast approximate simulation of finite long-range spin systems. Annals of Applied Probability, 31 (3), 1443-1473. doi: 10.1214/20-AAP1624
                
              
                  Hodgkinson, Liam, McVinish, Ross and Pollett, Philip K. (2020). Normal approximations for discrete-time occupancy processes. Stochastic Processes and their Applications, 130 (10), 6414-6444. doi: 10.1016/j.spa.2020.05.016
                
              
                  McVinish, R. and Lester, R. J. G. (2020). Measuring aggregation in parasite populations. Journal of the Royal Society: Interface, 17 (165) 20190886, 20190886. doi: 10.1098/rsif.2019.0886
                
              
                  McVinish, Ross, Nazarathy, Yoni and Nguyen, Giang (2020). Modern trends in applied probability: part 1: a collection of two overview papers. Queueing Systems, 96 (1-2), 1-2. doi: 10.1007/s11134-020-09670-y
                
              
                  Barbour, A. D., McVinish, R. and Pollett, P. K. (2018). Local approximation of a metapopulation's equilibrium. Journal of Mathematical Biology, 77 (3), 1-29. doi: 10.1007/s00285-018-1231-0
                
              
                  McVinish, R., Pollett, P. K. and 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
                
              
                  Lester, R. J. G. and McVinish, R. (2016). Does moving up a food chain increase aggregation in parasites?. Journal of the Royal Society Interface, 13 (118) 20160102, 20160102. doi: 10.1098/rsif.2016.0102
                
              
                  McVinish, R., Pollett, P. K. and 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
                
              
                  Barbour, A.D, McVinish, Ross and Pollett, Philip K (2015). Connecting deterministic and stochastic metapopulation models. Journal of Mathematical Biology, 71 (6), 1481-1504. doi: 10.1007/s00285-015-0865-4
                
              
                  Smith, Andrew G., McVinish, Ross and Pollett, Philip K. (2014). A model for a spatially structured metapopulation accounting for within patch dynamics. Mathematical Biosciences, 247 (1), 69-79. doi: 10.1016/j.mbs.2013.11.001
                
              
                  McVinish, R. and Pollett, P. K. (2014). The limiting behaviour of Hanski's incidence function metapopulation model. Journal of Applied Probability, 51 (2), 297-316. doi: 10.1239/jap/1402578626
                
              
                  McVinish, R. and Pollett, P. K. (2013). The limiting behaviour of a stochastic patch occupancy model. Journal of Mathematical Biology, 67 (3), 693-716. doi: 10.1007/s00285-012-0568-z
                
              
                  McVinish, Ross, Mengersen, Kerrie, Nur, Darfiana, Rousseau, Judith and Guihenneuc-Jouyaux, Chantal (2013). Recentered importance sampling with applications to Bayesian model validation. Journal of Computational and Graphical Statistics, 22 (1), 215-228. doi: 10.1080/10618600.2012.681239
                
              
                  McVinish, R. and Pollett, P. K. (2013). Interaction between habitat quality and an Allee-like effect in metapopulations. Ecological Modelling, 249, 84-89. doi: 10.1016/j.ecolmodel.2012.07.001
                
              
                  McVinish, R. and Pollett, P. K. (2013). The deterministic limit of a stochastic logistic model with individual variation. Mathematical Biosciences, 241 (1), 109-114. doi: 10.1016/j.mbs.2012.10.001
                
              
                  McVinish, R. (2012). Improving ABC for quantile distributions. Statistics and Computing, 22 (6), 1199-1207. doi: 10.1007/s11222-010-9209-9
                
              
                  McVinish, R. and Pollett, P.K. (2012). A central limit theorem for a discrete-time SIS model with individual variation. Journal of Applied Probability, 49 (2), 521-530. doi: 10.1239/jap/1339878802
                
              
                  McVinish, R. and Pollett, P. K. (2012). The limiting behaviour of a mainland-island metapopulation. Journal of Mathematical Biology, 64 (5), 775-801. doi: 10.1007/s00285-011-0429-1
                
              
                  Lee, Jeong Lee, McVinish, Ross and Mengersen, Kerrie (2011). Population Monte Carlo algorithm in high dimensions. Methodology and Computing in Applied Probability, 13 (2), 369-389. doi: 10.1007/s11009-009-9154-2
                
              
                  McVinish, R. and Pollett, P. K. (2010). Limits of large metapopulations with patch-dependent extinction probabilities. Advances in Applied Probability, 42 (4), 1172-1186. doi: 10.1239/aap/1293113156
                
              
                  Hamilton, Grant, McVinish, Ross and Mengersen, Kerrie (2009). Bayesian model averaging for harmful algal bloom prediction. Ecological Applications, 19 (7), 1805-1814. doi: 10.1890/08-1843.1
                
              
                  McVinish, Ross, Rousseau, Judith and Mengersen, Kerrie (2009). Bayesian goodness of fit testing with mixtures of triangular distributions. Scandinavian Journal of Statistics, 36 (2), 337-354. doi: 10.1111/j.1467-9469.2008.00620.x
                
              
                  Nur, Darfiana, Allingham, David, Rousseau, Judith, Mengersen, Kerrie L. and McVinish, Ross (2009). Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. Computational Statistics and Data Analysis, 53 (5), 1873-1882. doi: 10.1016/j.csda.2008.07.007
                
              
                  McVinish, R. and Mengersen, K. (2008). Semiparametric Bayesian circular statistics. Computational Statistics and Data Analysis, 52 (10), 4722-4730. doi: 10.1016/j.csda.2008.03.016
                
              
                  McVinish, Ross (2008). Optimising prediction error among completely monotone covariance sequences. Electronic Communications in Probability, 13 (11), 113-120. doi: 10.1214/ECP.v13-1355
                
              
                  McVinish, R. (2008). On the structure and estimation of reflection positive processes. Journal of Applied Probability, 45 (1), 150-162. doi: 10.1239/jap/1208358958
                
              
                  Skitmore, Martin R., Pettitt, Anthony N. and McVinish, Ross (2007). Gates' bidding model. Journal of Construction Engineering And Management, 133 (11), 855-863. doi: 10.1061/(ASCE)0733-9364(2007)133:11(855)
                
              
                  Anh, V. V., McVinish, R. and Pesee, C. (2005). Estimation and simulation of the Riesz-Bessel distribution. Communications in statistics. Theory and methods, 34 (9/10), 1881-1897. doi: 10.1080/03610920500200295
                
              
                  Angulo, J. M., Anh, V. V., McVinish, R. and Ruiz-Medina, M. D. (2005). Fractional Kinetic Equations Driven by Gaussian or Infinitely Divisible Noise. Advances in Applied Probability, 37 (2), 366-392. doi: 10.1239/aap/1118858630
                
              
                  Anh, V. V. and Mcvinish, R. (2004). The Riesz-Bessel fractional diffusion equation. Applied Mathematics and Optimization, 49 (3), 241-264. doi: 10.1007/s00245-004-0790-1
                
              
                  McVinish, R (2003). Stochastic analysis and approximation of fractional diffusion. Bulletin of the Australian Mathematical Society, 67 (3), 523-525. doi: 10.1017/S0004972700037321
                
              
                  Anh, V. V., Leonenko, N. N. and McVinish, R. (2003). On semilinear stochastic fractional differential equations of Volterra type. Random operators and stochastic equations, 11 (2), 137-150. doi: 10.1515/156939703322386896
                
              
                  Anh, V. V. and McVinish, R. (2003). Fractional differential equations driven by Levy noise. Journal of Applied Mathematics and Stochastic Analysis, 16 (2), 97-119. doi: 10.1155/S1048953303000078
                
              
                  Anh, V. V. and McVinish, R. (2003). Completely monotone property of fractional Green functions. Fractional Calculus and Applied Analysis, 6 (2), 157-173.
                
              
                  Anh, VV, Leonenko, NN and McVinish, R (2001). Models for fractional Riesz-Bessel motion and related processes. Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 9 (3), 329-346. doi: 10.1142/S0218348X01000683
                
              Conference Papers
                  McVinish, R. and Pollett, P. K. (2011). Interaction between habitat quality and an Allee-like effect in metapopulations. 19th International Congress on Modelling and Simulation (MODSIM2011), Perth, Australia, 12-16 December 2011. Perth, Australia: Modelling and Simulation Society of Australia and New Zealand.
                
              
                  Jovanovic, Dejan P., McVinish, Ross S. and Pollett, Philip K. (2011). Fault modelling using a mixture of conditional Gaussian transitions. 19th Mediterranean Conference on Control and Automation, Corfu, Greece, 20-23 June 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/MED.2011.5983194
                
              
                  McVinish, Ross S., Braslavsky, .Julio H. and Mengersen, Kerrie L. (2006). A Bayesian-Decision Theoretic Approach to Model Error Modeling.. Symposium on System Identification, Newscastle, Australia, 29 - 31 March, 2006.
                
              
                  Gardiner, R. A., Walsh, T., Clements, J. A., Krugher, S., McVinish, R. and Pettitt, A. (2005). Molecular mass analyses: limitations in discriminating healthy from diseased samples in prostate cancer. Annual Scientific Meeting of the Urological Society of Australasia, Melbourne, Australia, 13-17 February 2005. Chichester, West Sussex, United Kingdom: Wiley-Blackwell Publishing.
                
              Data Collection
                  McVinish, Dr Ross and Lester, Bob (2015). Published means and variances for fish parasites. The University of Queensland. (Dataset)