Discovery Projects - Grant ID: DP180100836 [ 2018-04-13 - 2021-12-31 ]

Research Grant

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Researchers: Dr Francis Hui (Chief Investigator) ,  Prof Samuel Muller (Chief Investigator) ,  Prof Alan Welsh (Chief Investigator) ,  Prof Yanyuan Ma (Partner Investigator)

Brief description 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.

Funding Amount $359,083

Funding Scheme Discovery Projects

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