Posts by Collection

Portfolio item number 1

Published: September 29, 2024

Short description of portfolio item number 1

Portfolio item number 2

Published: September 29, 2024

Short description of portfolio item number 2

Does Donald Trump “defy all odds”?

Published in Significance, 2016

Keywords: US Presidential election, Polling, Perception of uncertainty, Meta-analysis

Recommended citation: Baffour, B., Bon, J.J. (2016). Does Donald Trump "defy all odds"? Significance. https://www.statslife.org.uk/politics/3050-does-donald-trump-defy-all-odds

Including mobile-only telephone users in a statewide preventive health survey: Differences in the prevalence of health risk factors and impact on trends

Published in Preventive Medicine Reports, 2017

Keywords: Health prevalence estimates, Non-coverage bias, Dual-frame survey, Public health surveillance, Telephone surveys

Recommended citation: Baffour, B., Roselli, T., Haynes, M., Bon, J.J., Western, M., Clemens, S. Preventive Medicine Reports (2017). Volume 7, September 2017, Pages 91-98. https://doi.org/10.1016/j.pmedr.2017.05.009

Fitting monotone polynomials in mixed effects models

Published in Statistics and Computing, 2018

Keywords: Monotone polynomials, Monotone regression, Mixed effects, Random effects, Shape constraints

Recommended citation: Bon, J.J., Murray, K. & Turlach, B.A. (2019). Statistics and Computing, Volume 29, Issue 1, Pages 79-98. https://doi.org/10.1007/s11222-017-9797-8

Polling bias and undecided voter allocations: US presidential elections, 2004–2016

Published in Journal of the Royal Statistical Society (Series A), 2018

Keywords: Bayesian modelling, Election polls, Total survey error

Recommended citation: Bon, J.J., Ballard, T. & Baffour, B. (2019), Journal of the Royal Statistical Society (Series A), Volume 182, Issue 2, Pages 467-493. https://dx.doi.org/10.1111/rssa.12414

Comment on: ‘Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices’

Published in Sports Medicine, 2020

Keywords: Open science; Sport science; Transparency

Recommended citation: Borg, D.N., Bon, J.J., Sainani, K.L. et al. Sports Medicine (2020) 10.1007/s40279-020-01298-5 https://doi.org/10.1007/s40279-020-01298-5

Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables

Published in Journal of Official Statistics, 2020

Keywords: Count data; log-linear model; marginal model; privacy restriction

Recommended citation: Bon, J.J., Baffour, B., Spallek, M., & Haynes, M. (2020), Journal of Official Statistics, Volume 36, Issue 2, Pages 275-296. https://doi.org/10.2478/jos-2020-0015

Accelerating sequential Monte Carlo with surrogate likelihoods

Published in Statistics and Computing, 2021

Keywords: Bayesian statistics; Delayed-acceptance; Approximate likelihood; Whittle likelihood; MCMC

Recommended citation: Bon, J.J., Lee, A. & Drovandi, C. (2021), Statistics and Computing, Volume 31, Issue 62. https://doi.org/10.1007/s11222-021-10036-4

Insights from the Australian Census Longitudinal Dataset: Housing tenure transition in Australia

Published: October 27, 2016

Presented with Melanie Spallek.

Monotone polynomials in constrained mixed effects models (ASC)

Published: December 06, 2016

Prentation at the Australian Statistical Conference 2016. Runner-up for Award for EJG Pitman Young Statisticians Prize (best student talk).

Monotone polynomials in constrained mixed effects models (SSA WA)

Published: May 09, 2017

As the reciepent of the 2016 Honours Scholarship from the Statistical Society of Australia (WA Branch) I was invited to talk on my Honours topic: “Monotone polynomials in constrained mixed effects models”.

Polling bias and undecided voter allocations in US Presidential elections

Published: September 27, 2017

Talk at Statistical Society of Australia’s Young Statisticians’ Conference in 2017. I was the program chair for this conference.

Bayesian Regression with Functional Inequality Constraints

Published: November 30, 2017

Research from my Masters thesis presented at “Biometrics by the Border” the International Biometric Society Australasian Region Conference for 2017.

Polling bias and undecided voter allocations in US Presidential elections

Published: June 06, 2018

Talk at the 2018 International Total Survey Error Workshop hosted by the Initiative on Survey Methodology, Duke University and The Odum Institute, UNC Chapel Hill.

Scaling samplers for high-dimensional models with stochastic nets

Published: July 10, 2019

Talk at the The 12th International Conference on Monte Carlo Methods and Applications.

Polling bias and undecided voter allocations in US Presidential elections

Published: July 20, 2019

Talk at the 2019 Joint Statistical Meetings hosted by Institute of Mathematical Statistics, American Statistical Association, and others.

I’m a BART machine… Viz me out of here!

Published: November 19, 2019

Talk at the 2019 OzViz Visualisation workshop on visualising regression trees, in particular, Bayesian Additive Regression Trees.

Simple Stats for Sunny Street

Published: November 29, 2019

This symposium promoted the merging of data science and social good. More details are available here.

Stochastic nets and Bayesian regularization

Published: January 06, 2020

Invited seminar at Duke University on work from my Master thesis.

Delayed-acceptance Sequential Monte Carlo

Published: May 21, 2020

Invited talk, discussing work from my PhD.

Monte Carlo twisting for particle filters

Published: November 29, 2022

Invited talk, discussing work from my PhD.

Analyzing longitudinal data with R

Workshop, Wizard Corporate Training Centre, Longitudinal Data Conference, 2016

Held as part of the National Centre for Longitudinal Data’s (NCLD) “Longitudinal Data Conference” in 2016.

Probability and Stochastic Modelling 2 (MXB241)

Lecturing, Queensland University of Technology, 2018

I lectured half a semester of this second year probability course in 2018. The other half was taken by Dr Christopher Drovandi.

Stochastic Modelling (MXN501)

Lecturing, Queensland University of Technology, 2019

I co-lectured this masters level probability course in 2019. The other half was taken by Dr Belinda Spratt.

Statistical Inference (MXB341)

Lecturing, Queensland University of Technology, 2020

Co-lecturing for this 3rd year probability course in 2020. The other lectures were given by Dr Gentry White.

Stochastic Modelling (MXN501)

Lecturing, Queensland University of Technology, 2020

I co-lectured 8 weeks of this masters level probability course in 2020. The other lectures were given by Dr Belinda Spratt.