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Grant Award View - GA214402
Random fields: non-Gaussian stochastic models and approximation schemes
GA ID:
GA214402
Agency:
Australian Research Council
Approval Date:
14-Jan-2022
Publish Date:
20-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
30-Aug-2022 to 29-Aug-2025
Original: 14-Jan-2022 to 31-Dec-2024
Value (AUD):
$422,680.00
(GST inclusive where applicable)
Variations:
- GA214402-V1 - Variation to Grant (4-Jul-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Random fields: non-Gaussian stochastic models and approximation schemes
Purpose:
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.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
La Trobe University
Recipient ABN:
64 804 735 113
Grant Recipient Location
Suburb:
BUNDOORA
Town/City:
BUNDOORA
Postcode:
3086
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3086
Country:
AUSTRALIA