Jonas Haslbeck
Department of Clinical Psychological Science, Maastricht University; Department of Psychological Methods, University of Amsterdam
Jonas Haslbeck is a researcher affiliated with the Department of Clinical Psychological Science at Maastricht University and the Department of Psychological Methods at the University of Amsterdam, where previous employment has also been held in the Department of Psychology. Haslbeck works on statistical methodology as applied to psychological research, with interests that span network psychometrics, Bayesian inference, and the analysis of longitudinal data. Much of this work addresses practical modeling decisions such as separating within- and between-person effects, selecting among vector autoregressive models, and specifying prior distributions in Bayesian graphical modeling. Haslbeck has also contributed to the study of psychopathology through temporal network analysis and to methodological standards for reporting psychological network analyses.
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Publications in advances.in/psychology
Observed correlations between person-means depend on within-person correlations
By Jonas Haslbeck & Sacha Epskamp
Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing
By Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, & Maarten Marsman
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