Discovery Early Career Researcher Award - Grant ID: DE160101147

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE160101147

Funding Status
Closed

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Funded Activity Summary

Predicting extremes when events occur in bursts. This project seeks to advance knowledge in extreme value theory. Extreme value theory is essential to quantify risks in complex systems, such as the risk of network failures. Current statistical models for the occurrence of extremes assume that events happen regularly. This assumption, however, is at odds with human actions and many biological and physical events, which occur in bursts. There is a strong need to understand the effect of such ‘bursty dynamics’ on the frequency and magnitude of extreme events. This project aims to develop extreme value theory for bursty events and thus lay the mathematical groundwork for the estimation and prediction of extremes in a variety of scientific contexts.

Funded Activity Details

Start Date: 01-01-2016

End Date: 31-12-2018

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $294,336.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Probability Theory | Stochastic Analysis and Modelling | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Mathematical Sciences

Other Keywords

Applied Statistics | Expanding Knowledge in the Mathematical Sciences | Probability Theory | Statistics | Stochastic Analysis and Modelling

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