The 5th David Finney Lecture (2021)
The Centre for Statistics was honoured to be joined by Professor Kerrie Mengersen for the 2021 David Finney Lecture:
Crikey - it's a Bayesian!
Bayesian statistics is now an established tool of trade for an applied statistician or data scientist. However, there are many open challenges in Bayesian modelling and analysis, which are often inspired by challenging real-world problems.
In this presentation, Kerrie Mengersen discussed a suite of environmental and biological problems that have required us to build better Bayesian tools to address increasingly sophisticated insights. The applied challenges range from the Antarctic to the Amazon, and from water to wellness. The tools include spatio-temporal models, nonparametrics, latent variable constructs and Bayesian network analyses. The work presented is based on research with a range of collaborators who will be acknowledged in the presentation.
- Video: Prof. Kerrie Mengersen: Crikey – It’s a Bayesian
- Prof. Kerrie Mengersen: Crikey – It’s a Bayesian Bayesian statistics is now an established tool of trade for an applied statistician or data scientist. However, there are many open challenges in Bayesian modelling and analysis, which are often inspired by challenging real-world problems. In this presentation, Kerrie Mengersen discusses a suite of environmental and biological problems that have required us to build better Bayesian tools to address increasingly sophisticated insights. The applied challenges range from the Antarctic to the Amazon, and from water to wellness. The tools include spatio-temporal models, nonparametrics, latent variable constructs and Bayesian network analyses. The work is based on research with a range of collaborators who will be acknowledged in the presentation.
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Prof. Kerrie Mengersen (Queensland University of Technology)
Kerrie Mengersen is a Distinguished Professor in Statistics at the Queensland University of Technology in Brisbane, Australia. She is the Deputy Director of the Australian Research Council Centre of Excellence in Mathematical Frontiers and the Director of the QUT Centre for Data Science. Kerrie is also an elected Fellow of the Australian Academy of Science and the Australian Academy of Social Sciences, and a member of the Statistical Society of Australia and the IMS, ASA, RSS, ISBA and ISI. Her research interests are in mathematical statistics and its application to substantive challenges in health, environment and industry, with particular focus on Bayesian methods.
The Centre for Statistics and Maxwell Institute for Mathematical Sciences are very grateful to the International Biometric Society: British and Irish Region, the Royal Statistical Society, and the Portuguese Statistical Society who sponsored this year's lecture, and to ICMS who hosted.
