Project
Bayesian gaussian process for nonlinear social science

My project focuses on using Bayesian Gaussian process regression to uncover nonlinear relationships in data. In the fields of social science and psychology, such nonlinearity is frequently observed, yet methodological research in this area remains ongoing. This project aligns closely with the objectives of the IOPS.

Supervisors
Prof. Dr. Ir. Joris Mulder
Dr. Joran Jongerling

Financed by
European Research Council (ERC)

Period
2 September 2024 – 31 August 2028