A New Bayesian Foundation for Psychometric Network Modelling

Project description

Paving the way for a new methodology in network studies

Network approaches are advancing in the field of psychology. However, the methodology used by network studies still needs a lot of improvement. In this context, the EU-funded BAYESIAN P-NETS project will develop a new confirmatory network methodology that uses model averaging to deliver robust, replicable network results. The new approach will be built around the basic principles of Bayesian inference. The project will also develop new models that are urgently needed but missing from the current set of networks. In addition, it will advance solutions for modelling heterogeneous psychological data.

Fields of science

• natural sciences › computer and information sciences › software
• natural sciences › mathematics › applied mathematics › statistics and probability › bayesian statistics

Programme(s)

• HORIZON.1.1 - European Research Council (ERC) Main Programme

Topic(s)

• ERC-2021-STG - ERC STARTING GRANTS

Call for proposal

ERC-2021-STG

See other projects for this call

Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

UNIVERSITEIT VAN AMSTERDAM

Net EU contribution

€ 1 499 991,00

Address

Spui 21
1012WX Amsterdam
Netherlands

Region

West-Nederland › Noord-Holland › Groot-Amsterdam

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00