Sara Keetelaar

Sara Keetelaar is a PhD student in the Psychological Methods group at the University of Amsterdam, where Keetelaar has been based since 2022. Keetelaar's research concerns the statistical analysis of psychometric networks, including Bayesian inference for graphical models, conditional independence testing, and parameter estimation methods such as maximum likelihood and pseudolikelihood for the Ising model. Recent work includes the development of easybgm, an R package designed to make Bayesian analysis of graphical models more accessible to social scientists, as well as investigations into prior sensitivity in Bayesian graphical modeling.