Discovery Projects - Grant ID: DP170100907

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP170100907

Funding Status
Closed

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Funded Activity Summary

Expanding the role of mixture models in statistical analyses of big data. This project aims to develop theoretical procedures to scale inference and learning algorithms to analyse big data sets. It will develop analytic tools and algorithms to analyse big data sets which classical methods of inference cannot analyse directly due to the data’s complexity or size. This will accelerate the progress of scientific discovery and innovation, leading, for example, to new fields of inquiry; to an increase in understanding from studies on human and social processes and interactions; and to the promotion of economic growth and improved health and quality of life. Such applications should lead to breakthrough discoveries and innovation in science, engineering, medicine, commerce, education and national security.

Funded Activity Details

Start Date: 30-09-2017

End Date: 29-09-2020

Funding Scheme: Discovery Projects

Funding Amount: $335,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistical Theory | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences

Other Keywords

Applied Statistics | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Statistical Theory | Statistics

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