Nikola Sekulovski
Department of Psychology, University of Amsterdam
Nikola Sekulovski is a PhD candidate in the Department of Psychology at the University of Amsterdam, where Sekulovski has been based since 2022 under the Psychologische Methodenleer group. Sekulovski completed a master's degree in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences at Utrecht University in 2022. Research focuses on Bayesian graphical modeling, including prior elicitation, Bayes factor testing, and network psychometrics, with additional work on parameter estimation methods for the Ising model and the development of accessible software tools for Bayesian network analysis in the social sciences.
Based on ORCID profile and published research
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Publications in advances.in/psychology
Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing
By Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, & Maarten Marsman
Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model
By Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, & Maarten Marsman
Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package
By Karoline B. S. Huth, Sara Keetelaar, Nikola Sekulovski, Don van den Bergh, & Maarten Marsman
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