Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180100597
Funding Status
Active
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Funded Activity Summary
Fast approximate inference methods: new algorithms, applications and theory. This project aims to develop new algorithms and theory for fast approximate inference and lay down infrastructure to aid future extensions. Fast approximate inference methods are a principled and extensible means of fitting large and complex statistical models to big data sets. They come into their own in applications where speed is paramount and traditional approaches are not feasible. The project aims to lead to practical outcomes from better business decision-making for insurance data warehouses, to improved medical imaging technology.Funded Activity Details
Start Date: 2018
End Date: 12-2023
Funding Scheme: Discovery Projects
Funding Amount: $386,828.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Statistics not elsewhere classified | Statistical Theory | Statistics |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in Technology
