dr.ir. Joris Mulder

Arena, G., Mulder, J., & Leenders, R. (2023). A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks. Sociological Methods & Research.

Arena, G., Mulder, J., & Leenders, R. T. A. J. (2023). How fast do we forget our past social interactions? Understanding memory retention with parametric decays in relational event models. Network Science, 11(2), 267-294.

Dittrich, D., Leenders, R., & Mulder, J. (Accepted/In press). Bayesian analysis of higher-order network autocorrelation models. Sociological Methodology.

Gravel, J., Valasik, M., Mulder, J., Leenders, R., Butts, C., Brantingham, P. J., & Tita, G. E. (2023). Rivalries, reputation, retaliation, and repetition: Testing plausible mechanisms for the contagion of violence between street gangs using relational event models. Network Science.

Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink, M., Moerbeek, M., ... Hoijtink, H. (2023). A review of applications of the Bayes factor in psychological research. Psychological Methods.