S.E. (Sara) Keetelaar
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Bezoekadres
- Nieuwe Achtergracht 129
Postadres
-
Postbus 15906
1001 NK Amsterdam
Contactgegevens
-
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.
-
Publicaties
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. -
Nevenwerkzaamheden
Geen nevenwerkzaamheden