Discovery Projects - Grant ID: DP180100836

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP180100836

Funding Status
Closed

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Funded Activity Summary

Dimension reduction and model selection for statistically challenging data. This project aims to develop a deep theoretical understanding of the relationship between various dimension reduction and model selection methods used in statistical model building, and then use this understanding to develop new, improved methods of model building for statistically challenging data. The research will impact on both the theory and practice of statistics, and on substantive fields which collect and analyse these kinds of data. This will provide a significant improvement in the statistical model building in areas such as epidemiology, chemical and ecological sciences. The project is timely because of the increasing collection of large-dimensional, complex, correlated data sets in these and many other fields.

Funded Activity Details

Start Date: 13-04-2018

End Date: 31-12-2021

Funding Scheme: Discovery Projects

Funding Amount: $359,083.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistical Theory | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Specific Population Health (excl. Indigenous Health) not elsewhere classified | Expanding Knowledge in the Chemical Sciences | Expanding Knowledge in the Mathematical Sciences

Other Keywords

Applied Statistics | Expanding Knowledge in the Chemical Sciences | Expanding Knowledge in the Mathematical Sciences | Specific Population Health (excl. Indigenous Health) not elsewhere classified | Statistical Theory | Statistics

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