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Grant Award View - GA1953-V1
Statistical theory and algorithms for joint inference of complex...
GA ID:
GA1953-V1
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Variation Publish Date:
12-Apr-2021
Variation Date:
12-Apr-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2018 to 31-Dec-2021
Value (AUD):
$343,450.00
(GST inclusive where applicable)
Varies:
GA1953
- Statistical theory and algorithms for joint inference of complex networks
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Statistical theory and algorithms for joint inference of complex networks
Purpose:
This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered network data. Expected outcomes include enhanced theoretical and computational frameworks for probabilistic network models to better utilise the power of multiple observations. This should foster international and interdisciplinary collaborations and add significant value to the rapidly progressing field of networks research.
Internal Reference ID:
DE18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA