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Results: 73
Number of items: 73
  • Open Access
    Haslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. Journal of Statistical Software, 93, Article 8. https://doi.org/10.18637/jss.v093.i08
  • Open Access
    Haslbeck, J. M. B., & Wulff, D. U. (2020). Estimating the Number of Clusters via Normalized Cluster Instability. Computational Statistics, 35(4), 1879–1894. https://doi.org/10.1007/s00180-020-00981-5
  • Open Access
    Fried, E. I., von Stockert, S., Haslbeck, J. M. B., Lamers, F., Schoevers, R. A., & Pennix, B. W. J. H. (2020). Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates. Psychological Medicine, 50(16), 2682-2690. https://doi.org/10.1017/S0033291719002770
  • Open Access
    Haslbeck, J. M. B. (2020). Modeling psychopathology: From data models to formal theories. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Dablander, F., Ryan, O., & Haslbeck, J. M. B. (2020). Choosing between AR(1) and VAR(1) Models in Typical Psychological Applications. PLoS ONE, 15(10), Article e0240730. https://doi.org/10.1371/journal.pone.0240730
  • Dablander, F., Epskamp, S., & Haslbeck, J. M. B. (2019). Studying Statistics Anxiety Requires Sound Statistics: A Comment on Siew, McCartney, and Vitevitch (2019). Scholarship of Teaching and Learning in Psychology, 5(4), 319-323. https://doi.org/10.31234/osf.io/pfnys, https://doi.org/10.1037/stl0000159
  • Open Access
    Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F., & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. J. Johnson (Eds.), A handbook of process tracing methods (2nd ed., pp. 131-145). Routledge. https://doi.org/10.4324/9781315160559-10
  • Open Access
    Kieslich, P. J., Henninger, F., Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2019). Mouse-Tracking: A Practical Guide to Implementation and Analysis. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G. Johnson (Eds.), A Handbook of Process Tracing Methods (2nd ed., pp. 111-130). (The Society for Judgment and Decision Making Series). Routledge. https://doi.org/10.31234/osf.io/zuvqa, https://doi.org/10.4324/9781315160559-9
  • Open Access
    Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853-861. https://doi.org/10.3758/s13428-017-0910-x
  • Open Access
    Haslbeck, J. M. B., & Fried, E. I. (2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16), 2767-2776. https://doi.org/10.1017/S0033291717001258
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