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Behavior Research Methods|December 26, 2025
Modeling qualitative between-person heterogeneity in time series using latent class vector autoregressive modelsAnja F Ernst, Jonas M B HaslbeckBehavior Research Methods|July 22, 2021
Estimating group differences in network models using moderation analysisJonas M B HaslbeckMultivariate Behavioral Research|June 22, 2021
Recovering Within-Person Dynamics from Psychological Time SeriesJonas M B Haslbeck, Oisín RyanComputational Statistics|October 22, 2020
Estimating the number of clusters via a corrected clustering instabilityJonas M B Haslbeck, Dirk U WulffPsychological Methods|November 3, 2022
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errorsJonas M B Haslbeck, Riet van BorkBehavior Research Methods|July 19, 2017
How well do network models predict observations? On the importance of predictability in network modelsJonas M B Haslbeck, Lourens J WaldorpPlos One|October 29, 2020
Choosing between AR(1) and VAR(1) models in typical psychological applicationsFabian Dablander, Oisín Ryan, Jonas M B HaslbeckPsychological Methods|December 16, 2021
The sum of all fears: Comparing networks based on symptom sum-scoresJonas M B Haslbeck, Oisín Ryan, Fabian DablanderPsychological Review|March 27, 2025
Toward a generative model for emotion dynamicsOisín Ryan, Fabian Dablander, Jonas M B HaslbeckBehaviour Research and Therapy|April 2, 2025
Improving treatments for mental disorders using computational modelsOisín Ryan, Jonas M B Haslbeck, Donald J RobinaughPageof 5