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Dr Ross McVinish
Dr

Ross McVinish

Email: 
Phone: 
+61 7 336 53116

Overview

Background

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.

Availability

Dr Ross McVinish is:
Available for supervision

Qualifications

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

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.

Works

Search Professor Ross McVinish’s works on UQ eSpace

43 works between 2001 and 2024

21 - 40 of 43 works

2012

Journal Article

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

A central limit theorem for a discrete-time SIS model with individual variation

2012

Journal Article

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

The limiting behaviour of a mainland-island metapopulation

2011

Journal Article

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

Population Monte Carlo algorithm in high dimensions

2011

Conference Publication

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

Fault modelling using a mixture of conditional Gaussian transitions

2011

Conference Publication

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.

Interaction between habitat quality and an Allee-like effect in metapopulations

2010

Journal Article

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

Limits of large metapopulations with patch-dependent extinction probabilities

2009

Journal Article

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 model averaging for harmful algal bloom prediction

2009

Journal Article

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 goodness of fit testing with mixtures of triangular distributions

2009

Journal Article

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

Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis

2008

Journal Article

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

Semiparametric Bayesian circular statistics

2008

Journal Article

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

Optimising prediction error among completely monotone covariance sequences

2008

Journal Article

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

On the structure and estimation of reflection positive processes

2007

Journal Article

Gates' bidding model

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)

Gates' bidding model

2006

Conference Publication

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.

A Bayesian-Decision Theoretic Approach to Model Error Modeling.

2005

Journal Article

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

Estimation and simulation of the Riesz-Bessel distribution

2005

Journal Article

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

Fractional Kinetic Equations Driven by Gaussian or Infinitely Divisible Noise

2005

Conference Publication

Molecular mass analyses: limitations in discriminating healthy from diseased samples in prostate cancer

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.

Molecular mass analyses: limitations in discriminating healthy from diseased samples in prostate cancer

2004

Journal Article

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

The Riesz-Bessel fractional diffusion equation

2003

Journal Article

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

Stochastic analysis and approximation of fractional diffusion

2003

Journal Article

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

On semilinear stochastic fractional differential equations of Volterra type

Funding

Past funding

  • 2009 - 2010
    Bayesian nonparametric methods for system identification
    UQ New Staff Research Start-Up Fund
    Open grant

Supervision

Availability

Dr Ross McVinish is:
Available for supervision

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Supervision history

Completed supervision

Media

Enquiries

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