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Grant Award View - GA1953
Statistical theory and algorithms for joint inference of complex...
GA ID:
GA1953
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Publish Date:
20-Feb-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2018 to 31-Dec-2023
Original: 1-Jan-2018 to 31-Dec-2020
Value (AUD):
$343,450.00
(GST inclusive where applicable)
Variations:
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