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Dr Peter Ballard
Associate Investigator
The University of Adelaide
Peter Ballard is a University Postdoctoral Fellow at the University of Adelaide. His research interests include mathematical epidemiology, stochastic modelling (in particular the SIR infection model and related models), stochastic decision processes and MCMC (Markov Chain Monte Carlo) techniques. He completed a Ph.D. in Applied Mathematics at the University of Adelaide in 2018. Previously he worked as an electronic engineer, and has more than two decades' experience in the design, modelling and simulation of electronic circuits.
Research Interests:
Markov Chain Monte Carlo
Markov chain Monte Carlo simulation algorithms
Markov decision process
Mathematical modelling
Modelling of epidemics
Stochastic Processes
Qualifications:
B.E. Hons (Electrical and Electronic) (Adelaide)
Grad. Dip. Math. Sci (Adelaide)
Ph.D. (Adelaide)
Publications
Journal Articles
Ballard, P. G., Bean N. G., & Ross J.V.
(2017). Intervention to maximise the probability of epidemic fade-out.
Mathematical Biosciences. 293, 1 - 10. doi: 10.1016/j.mbs.2017.08.003
Ballard, P. G., Bean N. G., & Ross J.V.
(2016). The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography.
Journal of Theoretical Biology. 393, 170-178. doi: 10.1016/j.jtbi.2016.01.012