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ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights

Funding: 2014: $387,667
2015: $387,667
2016: $387,667
2017: $387,667
2018: $387,667
2019: $387,667
2020: $387,667

Project Member(s): Ryan, L., Wand, M., Geweke, J.

Funding or Partner Organisation: Australian Research Council (ARC Centres Of Excellence)

Start year: 2014

Summary: ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights) In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.

Publications:

Wang, JJJ, Bartlett, M & Ryan, L 2017, 'Non-ignorable missingness in logistic regression.', Statistics in Medicine, vol. 36, no. 19, pp. 3005-3021.
View/Download from: UTS OPUS or Publisher's site

Cramb, SM, Baade, PD, White, NM, Ryan, LM & Mengersen, KL 2015, 'Inferring lung cancer risk factor patterns through joint Bayesian spatio-temporal analysis', Cancer Epidemiology, vol. 39, pp. 430-439.
View/Download from: UTS OPUS or Publisher's site

FOR Codes: Expanding Knowledge, Statistics