I started my PhD at Utrecht University in September 2015.
In this project the sequential aggregation of knowledge is central, for which informative hypotheses can be used. For within-person data, informative hypotheses can be formulated and evaluated by means of Bayes factors at the within-person level. Individual Bayes factors can be combined to provide an insight whether hypotheses hold for everyone. Alternatively, if Bayesian updating is applied, informative hypotheses can be formed or adapted throughout the updating process.
- Informative hypotheses
- Bayes factor
- Within-person experiments