Informative Priors

Photo by Dariusz Sankowski on Pixabay

Informative priors are a useful tool for researchers who (1) want to contribute to cumulative science, (2) need to deal with small samples, (3) want to avoid estimation issues that occur for some parameters with Bayesian default priors. More details on these topics can be found in the list of papers related to this project.

Below you can also find an introductory video that I made for a lecture about informative priors. Enjoy!

Mariëlle Zondervan-Zwijnenburg
Assistant Professor Methodology and Statistics

My ambition is to enable social science researchers to use the best methods to optimally analyze their data and answer their research questions.