ARC Future Fellowships - Grant ID: FT130100098

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/FT130100098

Funding Status
Closed

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Funded Activity Summary

New nonparametric statistical methods for imperfectly observed data. Statistical science today is facing the challenge of having to answer questions about data that are more complex than ever before. Some of the major difficulties are caused by the lack of direct access to quantities of interest, and the more intricate structure of the available data. Motivated by applications in areas such as cancer and genetic studies, infectious disease, environmental pollution, and public health and nutrition, this project aims to develop novel and highly effective statistical methodology for solving contemporary problems involving new types of imperfectly observed data. The expected outcomes will solve frontier problems, where information can only be accessed through sophisticated computer intensive methods.

Funded Activity Details

Start Date: 06-2014

End Date: 12-2018

Funding Scheme: ARC Future Fellowships

Funding Amount: $736,416.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistical Theory | Statistics |

ANZSRC Socio-Economic Objective (SEO)

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

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