Nikola Sekulovski

Nikola Sekulovski is a doctoral researcher in the Department of Psychology at the University of Amsterdam, where Sekulovski has been enrolled as a PhD candidate since 2022. Sekulovski completed a master's degree in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences at Utrecht University in 2022. Sekulovski's research focuses on Bayesian statistical methods for network analysis, with particular emphasis on graphical models, prior elicitation and sensitivity analysis, parameter estimation in psychometric networks, and the development of accessible computational tools for applied researchers. Sekulovski has published extensively on Bayesian inference, the Ising model, Bayes factor testing, and methodological considerations in network recovery and variable selection.