Discovery Projects - Grant ID: DP220102232

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP220102232

Funding Status
Active

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Funded Activity Summary

Novel statistical methods for data with non-Euclidean geometric structure. This project aims to develop new flexible regression models and classification algorithms, along with robust and efficient inference methods, applicable to a wide range of non-Euclidean data types which arise in many fields of science, business and technology. There are serious flaws with currently available methods of analysis for non-Euclidean data. This project expects to transform such analyses by providing new quantitative tools within a unifying framework. The anticipated project outcomes will be of mathematical interest and valuable in applications such as finance (predicting Australian stock returns); modelling electroencephalography data; Australian geochemical data, relating to sediments; and Australian X-ray tumour image data.

Funded Activity Details

Start Date: 01-11-2022

End Date: 31-10-2025

Funding Scheme: Discovery Projects

Funding Amount: $390,000.00

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 Earth Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences

Other Keywords

Applied Statistics | Expanding Knowledge in the Earth Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences | Statistical Theory | Statistics

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