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uva.nl
Psychology Research Institute null

S.E. (Sara) Keetelaar

PhD student
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
  • Nieuwe Achtergracht 129
Postal address
  • Postbus 15906
    1001 NK Amsterdam
Contact details
Social media
  • Profile

    I am a PhD student in the Bayesian Graphical Modeling Lab of the department of Psychological Methods. My research interests are Bayesian statistics, graphical modeling, and more specifically the development of Bayesian methods in network psychometrics. Other interests are programming (R, Python, C++, Java). I have a background in econometrics.

    Research expertise

    • Network psychometrics
    • Bayesian statistics
    • Graphical models

    Other links

  • Research

    Research methods

    • Bayesian statistics
    • Maximum likelihood
    • Pseudolikelihoods

    Current research projects

    • Pseudolikelihood and maximum likelihood for the Ising model in psychometrics.
    • Test for sparsity or density in Bayesian graphical models.
       
  • Publications

    2023

    • Sekulovski, N., Keetelaar, S. E., Huth, K. B. S., Wagenmakers, E. M., van Bork, R., van den Bergh, D., & Marsman, M. (2023). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. (pp. 1-30). PsyArXiv. https://doi.org/10.31234/osf.io/ch7a2
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    No ancillary activities
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