Discovery Projects - Grant ID: DP220101680

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP220101680

Funding Status
Active

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Funded Activity Summary

Random fields: non-Gaussian stochastic models and approximation schemes. The project aims to address important problems in the theory and statistics of stochastic processes and develop new methodology for their applications. This project expects to generate new knowledge about stochastic processes defined on multidimensional spaces and surfaces that are used in spatio-temporal data modelling. Main anticipated outcomes include - developing approximation schemes for new complex data and investigating their accuracy and reliability; - studying nonlinear statistics and transformations of these data; - providing new tools to investigate complex real data, in particular, in cosmology and embryology. The results should provide significant benefits for optimal modelling and analysis of high resolution big data.

Funded Activity Details

Start Date: 30-08-2022

End Date: 29-08-2025

Funding Scheme: Discovery Projects

Funding Amount: $422,680.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Stochastic Analysis and Modelling | Statistics | Applied Mathematics not elsewhere classified

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Physical Sciences | Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Applied Mathematics not elsewhere classified | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Physical Sciences | Statistics | Stochastic Analysis and Modelling

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