Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP140101259]Researchers: Prof Alan Welsh (Chief Investigator) , Samuel Muller (Chief Investigator) , The Australian National University (Managed by)
Brief description 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.
Funding Amount $351,000
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP140101259
- ARC : DP140101259