Maarten Marsman

Maarten Marsman is a researcher at the Department of Psychology and Centre for Urban Mental Health at the University of Amsterdam whose work focuses on Bayesian statistical methods for psychological networks and graphical models. Marsman has made substantial contributions to network psychometrics through developments in Bayes factor testing, Bayesian model averaging, and novel approaches to parameter estimation in Markov random fields and Ising models. Key research interests include prior sensitivity analysis, conditional independence testing in psychometric networks, and the application of Bayesian inference to binary and ordinal graphical models, with particular attention to methodological issues such as dichotomization effects and the comparison of maximum likelihood and pseudolikelihood estimators. Marsman has also applied network approaches to substantive psychological questions, including investigations of depressive symptoms, alcohol use, and paranormal beliefs in diverse urban populations.