Discovery Projects - Grant ID: DP240101480

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP240101480

Funding Status
Active

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Inference for Hawkes processes with challenging data. The Hawkes processes are statistical models for the analysis of high-impact event sequences, such as bushfires, earthquakes, infectious diseases, and cyber attacks. When the times and/or marks are missing for some events or when the data is otherwise incomplete, it is challenging to fit these models and perform diagnostic checks on the fitted models. This project aims to develop novel statistical methods to fit these models in the presence of incomplete data and to check the goodness-of-fit of the fitted models. The expected outcomes include publications documenting these methods and software packages implementing them. The primary benefits include the advancement of statistical methodology and the training of junior research personnel.

Funded Activity Details

Start Date: 23-01-2024

End Date: 22-01-2027

Funding Scheme: Discovery Projects

Funding Amount: $463,452.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied statistics | Computational statistics | Statistics | Statistical theory |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Applied statistics | Computational statistics | Cybersecurity | Market-Based Mechanisms | Social Impacts of Climate Change and Variability | Statistical theory | Statistics

Related Links