Search results
Results: 94
Number of items: 94
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Bosma, M. J., Marsman, M., Vermeulen, J., Huth, K. B. S., de Haan, L., Alizadeh, B. Z., Simons, C. J. P., & Schirmbeck, F. (2025). Exploring the Interactions between Psychotic Symptoms, Cognition, and Environmental Risk Factors: A Bayesian Analysis of Networks. Schizophrenia Bulletin, 51(4), 1134–1145. https://doi.org/10.1093/schbul/sbae174 -
Sekulovski, N., Keetelaar, S., Haslbeck, J., & Marsman, M. (2024). Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing. Advances.in/psychology, 2, Article e92355. https://doi.org/10.56296/aip00016
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Sekulovski, N., Marsman, M., & Wagenmakers, E.-J. (2024). A Good check on the Bayes factor. Behavior Research Methods, 56(8), 8552–8566. https://doi.org/10.3758/s13428-024-02491-4
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Briganti, G., Scutari, M., Epskamp, S., Borsboom, D., Hoekstra, R. H. A., Fernandes Golino, H., Christensen, A. P., Morvan, Y., Ebrahimi, O. V., Costantini, G., Heeren, A., de Ron, J., Bringmann, L. F., Huth, K., Haslbeck, J. M. B., Isvoranu, A.-M., Marsman, M., Blanken, T., Gilbert, A., ... McNally, R. J. (2024). Network analysis: An overview for mental health research. International Journal of Methods in Psychiatric Research, 33(4), Article e2034. https://doi.org/10.1002/mpr.2034
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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, 11(9), Article 240049. https://doi.org/10.1098/rsos.240049
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Keetelaar, S., Sekulovski, N., Borsboom, D., & Marsman, M. (2024). Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model. Advances.in/psychology, 2, Article e25745. https://doi.org/10.56296/aip00013
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Sekulovski, N., Keetelaar, S., Huth, K., 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, 59(5), 913-933. https://doi.org/10.1080/00273171.2024.2345915
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Huth, K. B. S., 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, 2, Article e66366. https://doi.org/10.56296/aip00010
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Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (2023). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.23301469.v1
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