Jonas Haslbeck
Department of Clinical Psychological Science, Maastricht University; Department of Psychological Methods, University of Amsterdam
Jonas Haslbeck is a researcher at the Department of Clinical Psychological Science at Maastricht University and the Department of Psychological Methods at the University of Amsterdam. Haslbeck's research focuses on longitudinal data analysis, network psychometrics, and Bayesian statistical methods with applications to psychological processes and psychopathology. Notable publications include work on movement tracking of psychological processes, temporal network analysis of paranoia in psychosis, reporting standards for psychological network analyses, and methodological papers on vector autoregressive models, Bayesian graphical modeling, and separating within- and between-person effects in psychological data. Haslbeck's broader research interests encompass multi-level modeling, Markov random fields, Bayes factors, and prior sensitivity analysis in the context of formal theories of psychopathology.
Based on ORCID profile and published research
Expert in:
Publications
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




