Publications

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Marsman, M., Waldorp, L. J., Sekulovski, N., & Haslbeck, J. M. B. (2024). A Bayesian Independent Samples t Test for Parameter Differences in Networks of Binary and Ordinal Variables. PsyArXiv.

Sekulovski, N., Blanken, T., Haslbeck, J. M. B., & Marsman, M. (2024). The Impact of Dichotomization on Network Recovery. PsyArXiv.

2024

Hoogeveen, S., Borsboom, D., Kucharský, Š, Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach. Royal Society Open Science.

Huth, K., Keetelaar, S., Sekulovski, N., van den Bergh, D., & Marsman, M. (2024). Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package. Advances .in/psychology.

Keetelaar, S., Sekulovski, N., Borsboom, D., & Marsman, M. (2024). Comparing Maximum Likelihood and Pseudo-Maximum Likelihood Estimators for the Ising Model. Advances .in/psychology.

Sekulovski, N., Keetelaar, S., Haslbeck, J. M. B., & Marsman, M. (2024). Sensitivity Analysis of Prior Distributions in Bayesian Graphical Modeling: Guiding Informed Prior Choices for Conditional Independence Testing. Advances .in/psychology.

Sekulovski, N., Keetelaar, S., Huth, K. B. S., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research.

Sekulovski, N., Marsman, M., & Wagenmakers, E.-J. (2024). A Good Check on the Bayes Factor. Behavior Research Methods.

2023

Sekulovski, N., & Hoijtink, H. (2023). Default Bayes Factor for Testing Null Hypotheses About the Fixed Effects of Linear Two-Level Models. Psychological Methods.