Discovery Projects - Grant ID: DP140101259

Funding Activity

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Funded Activity Summary

Prediction, inference and their application to modelling correlated data. This project aims to create new, improved methods for prediction and making inference about predictions for a variety of correlated data types through inventing sophisticated and novel resampling schemes such as the generalised fast bootstrap and repeated partial permutation. The research will impact on both the theory and practice of statistics and on substantive fields which use mixed or compositional models to analyse dependent data. This will be a significant improvement in the assessment and stability of statistical models in areas such as social, ecological and geological sciences.

Funded Activity Details

Start Date: 01-06-2014

End Date: 31-05-2017

Funding Scheme: Discovery Projects

Funding Amount: $351,000.00

Funder: Australian Research Council