Joshua Bon

Joshua Bon

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

Dr Joshua Bon is a lecturer in the School of Computer and Mathematical Sciences at University of Adelaide, South Australia. Previously, Joshua was a researcher at Université Paris-Dauphine in France and a postdoctoral fellow at the Queensland University of Technology, where he also completed his PhD.

He has degrees in statistics, mathematics, computer science and commerce, and has uses statistics in a wide range of fields including psychology, sports science, ecology, and public health.

He also designs open source software for statisticians, scientists and industry.

My research involves designing computationally efficient (and private) algorithms that learn from data with principled uncertainty quantification. 

This involves mathematical analysis of statistical algorithms and models under various scenarios. In particular, my research studies

  • sequential Monte Carlo
  • private statistical inference
  • federated learning
  • simulation-based inference
  • Bayesian modelling

  • Journals
    Year Citation
    2024 Borg, D. N., Impellizzeri, F. M., Borg, S. J., Hutchins, K. P., Stewart, I. B., Jones, T., . . . Barnett, A. G. (2024). Meta-analysis prediction intervals are under reported in sport and exercise medicine. Scandinavian Journal of Medicine and Science in Sports, 34(3), e14603.
    DOI Scopus20 Europe PMC12
    2024 Schoenefuss, P., Kutt, A. S., Kern, P. L., Moffatt, K. A., Bon, J., Wardle, G. M., . . . Baker, A. M. (2024). An investigation into the utility of eastern barn owl pellet content as a tool to monitor small mammal diversity in an arid ecosystem. Austral Ecology, 49(3).
    DOI Scopus3
    2023 O’flaherty, M., Kalucza, S., & Bon, J. (2023). Does Anyone Suffer From Teenage Motherhood? Mental Health Effects of Teen Motherhood in Great Britain Are Small and Homogeneous. Demography, 60(3), 707-729.
    DOI Scopus1 Europe PMC1
    2023 Bon, J. J., Bretherton, A., Buchhorn, K., Cramb, S., Drovandi, C., Hassan, C., . . . Wang, X. (2023). Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 381(2247), 20220156.
    DOI Scopus10 Europe PMC3
    2022 Borg, D. N., Fleming, J., Bon, J. J., Foster, M. M., Kendall, E., & Geraghty, T. (2022). The influence of personal factors, unmet need and service obstacles on the relationship between health service use and outcome after brain injury. BMC Health Services Research, 22(1), 445.
    DOI Scopus2 Europe PMC1
    2022 Borg, D. N., Bon, J. J., Foster, M. M., Lakhani, A., Kendall, M., & Geraghty, T. (2022). Healthcare services for people with acquired disability in South-East Queensland, Australia: Assessing potential proximity and its association with service obstacles. Ssm Population Health, 19, 101209.
    DOI Scopus3 Europe PMC2
    2022 Minett, G. M., Fels-Camilleri, V., Bon, J. J., Impellizzeri, F. M., & Borg, D. N. (2022). Peer Presence Increases Session Ratings of Perceived Exertion. International Journal of Sports Physiology and Performance, 17(1), 106-110.
    DOI Scopus12 Europe PMC6
    2021 Hutchins, K. P., Borg, D. N., Bach, A. J. E., Bon, J. J., Minett, G. M., & Stewart, I. B. (2021). Female (Under) Representation in Exercise Thermoregulation Research. Sports Medicine Open, 7(1), 43.
    DOI Scopus51 Europe PMC26
    2021 Bon, J. J., Lee, A., & Drovandi, C. (2021). Accelerating sequential Monte Carlo with surrogate likelihoods. Statistics and Computing, 31(5).
    DOI Scopus9
    2020 Bon, J. J., Baffour, B., Spallek, M., & Haynes, M. (2020). Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables. Journal of Official Statistics, 36(2), 275-296.
    DOI
    2020 Borg, D. N., Bon, J. J., Sainani, K. L., Baguley, B. J., Tierney, N. J., & Drovandi, C. (2020). Comment on: ‘Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices’. Sports Medicine, 50(8), 1551-1553.
    DOI Scopus10 Europe PMC8
    2019 Bon, J. J., Ballard, T., & Baffour, B. (2019). Polling Bias and Undecided Voter Allocations: US Presidential Elections, 2004–2016. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2), 467-493.
    DOI
    2019 Bon, J. J., Murray, K., & Turlach, B. A. (2019). Fitting monotone polynomials in mixed effects models. Statistics and Computing, 29(1), 79-98.
    DOI
    2017 Baffour, B., Roselli, T., Haynes, M., Bon, J. J., Western, M., & Clemens, S. (2017). Including mobile-only telephone users in a statewide preventive health survey-Differences in the prevalence of health risk factors and impact on trends.. Preventive medicine reports, 7, 91-98.
    DOI Europe PMC5
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