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 Article: Fast approximate simulation of finite long-range spin systems
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
Journal Article: Does moving up a food chain increase aggregation in parasites?
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
Journal Article: Connecting deterministic and stochastic metapopulation models
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
Journal Article: Recentered importance sampling with applications to Bayesian model validation
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
Bayesian nonparametric methods for system identification
(2009–2010) UQ New Staff Research Start-Up Fund
Approximations for finite spin systems and occupancy processes
(2019) Doctor Philosophy
A Model for the Spread of an SIS Epidemic in a Human Population
(2015) Doctor Philosophy
Spatially structured metapopulation models within static and dynamic environments
(2015) Doctor Philosophy
Fast approximate simulation of finite long-range spin systems
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
Does moving up a food chain increase aggregation in parasites?
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
Connecting deterministic and stochastic metapopulation models
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
Recentered importance sampling with applications to Bayesian model validation
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
Modern trends in applied probability closing a special issue of overview papers
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
Dominating occupancy processes by the independent site approximation
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
Fast approximate simulation of finite long-range spin systems
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
Normal approximations for discrete-time occupancy processes
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
Measuring aggregation in parasite populations
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
Modern trends in applied probability: part 1: a collection of two overview papers
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
Local approximation of a metapopulation's equilibrium
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
A metapopulation model with Markovian landscape dynamics
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
Does moving up a food chain increase aggregation in parasites?
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
Limiting the spread of disease through altered migration patterns
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
Connecting deterministic and stochastic metapopulation models
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
A model for a spatially structured metapopulation accounting for within patch dynamics
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
The limiting behaviour of Hanski's incidence function metapopulation model
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
The limiting behaviour of a stochastic patch occupancy model
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
Recentered importance sampling with applications to Bayesian model validation
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
Interaction between habitat quality and an Allee-like effect in metapopulations
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
The deterministic limit of a stochastic logistic model with individual variation
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
Improving ABC for quantile distributions
McVinish, R. (2012). Improving ABC for quantile distributions. Statistics and Computing, 22 (6), 1199-1207. doi: 10.1007/s11222-010-9209-9
A central limit theorem for a discrete-time SIS model with individual variation
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
The limiting behaviour of a mainland-island metapopulation
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
Population Monte Carlo algorithm in high dimensions
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
Limits of large metapopulations with patch-dependent extinction probabilities
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
Bayesian model averaging for harmful algal bloom prediction
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
Bayesian goodness of fit testing with mixtures of triangular distributions
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
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis
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
Semiparametric Bayesian circular statistics
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
Optimising prediction error among completely monotone covariance sequences
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
On the structure and estimation of reflection positive processes
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)
Estimation and Simulation of the Riesz-Bessel Distribution
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
Fractional Kinetic Equations Driven by Gaussian or Infinitely Divisible Noise
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
The Riesz-Bessel fractional diffusion equation.
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
Stochastic analysis and approximation of fractional diffusion
McVinish, R (2003). Stochastic analysis and approximation of fractional diffusion. Bulletin of the Australian Mathematical Society, 67 (3), 523-525. doi: 10.1017/S0004972700037321
Completely monotone property of fractional Green functions
Anh, V. V. and McVinish, R. (2003). Completely monotone property of fractional Green functions. Fractional Calculus and Applied Analysis, 6 (2), 157-173.
Fractional differential equations driven by Levy noise
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
On semilinear stochastic fractional differential equations of Volterra type
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
Models for fractional Riesz-Bessel motion and related processes
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
Fault modelling using a mixture of conditional Gaussian transitions
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
Interaction between habitat quality and an Allee-like effect in metapopulations
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.
A Bayesian-Decision Theoretic Approach to Model Error Modeling.
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.
Published means and variances for fish parasites
McVinish, Dr Ross and Lester, Bob (2015). Published means and variances for fish parasites. The University of Queensland. (Dataset)
Bayesian nonparametric methods for system identification
(2009–2010) UQ New Staff Research Start-Up Fund
Approximations for finite spin systems and occupancy processes
(2019) Doctor Philosophy — Associate Advisor
Other advisors:
A Model for the Spread of an SIS Epidemic in a Human Population
(2015) Doctor Philosophy — Associate Advisor
Other advisors:
Spatially structured metapopulation models within static and dynamic environments
(2015) Doctor Philosophy — Associate Advisor
Other advisors:
Fault Detection in Complex and Distributed Systems
(2014) Doctor Philosophy — Associate Advisor
Other advisors:
Analytical methods for stochastic discrete-time metapopulation models
(2011) Doctor Philosophy — Associate Advisor
Other advisors: