Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP220103269
Funding Status
Active
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Funded Activity Summary
New methods for modelling real-world extremes. This project aims to develop new theory and methods for analysing and predicting extreme values observed in real-world processes. Many existing techniques are limited by convenient mathematical assumptions that commonly do not hold in practice: dependence at asymptotic levels, process stationarity, and that the observed data are direct measurements of the process of interest. As a result, using these techniques may produce undesirable results. Expected outcomes of this project include theoretically justified data analysis techniques that can accurately model extreme values seen in the real world. Project benefits include more realistic analyses of nationally important applications in climate, bushfire insurance risk, and anomaly detection.Funded Activity Details
Start Date: 12-2022
End Date: 12-2025
Funding Scheme: Discovery Projects
Funding Amount: $405,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Statistical Theory | Statistics |
ANZSRC Socio-Economic Objective (SEO)
Climate Variability (excl. Social Impacts) | Superannuation and Insurance Services | Expanding Knowledge in the Mathematical Sciences
