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publications submitted or in revision
  • van Borkulo, C. D., Kamphuis, J. H., and Waldorp, L.J.. Predicting behaviour of networks of mental disorders: The contact process as a model for dynamics of psychopathology. (in revision)
  • Waldorp, L.J. Mixed continuous and binary graphs: The relation between factor and Ising models. (submitted)
  • Waldorp, L.J. Testing for graph differences using the desparsified lasso in high-dimensional data. (submitted)
  • Waldorp, LJ and Wicherts, J. Modified Cohen's Q for testing simultaneously dependent and overlapping correlations. (working paper).
some recent papers
  • Waldorp, LJ, Schmittmann, VD. Computing assortative mixing by degree with the s metric in networks using linear programming. Journal of Applied Mathematics. (in press).
  • Pircalabelu, E., Claeskens, G., and Waldorp, L.J. (2014). Structure Learning using a Focused Information Criterion for Graphical Models. Statistics and Computing, 1-22.
  • van Borkulo, C.D., Borsboom, D., Epskamp, S., Blanken, B.W., Bosschloo, L., Schoevers, R.A., and Waldorp, L.J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.
  • Pircalabelu, E., Claeskens, G. and Waldorp, L. (2014) Constructing Graphical Models via the Focused Information Criterion. In: Lecture Notes in Statistics: Modeling and Stochastic Learning for Forecasting in High Dimension. Editors: A. Antoniadis, X. Brossat, J.-M. Poggi. (book chapter).
  • de Hollander, G., Wagenmakers, E.-J., Waldorp, L., & Forstmann, B. (2014). An Antidote to the Imager's Fallacy, or How to Identify Brain Areas That Are in Limbo. PloS One, 9(12), e115700.
  • Guillaume, B., Hua, X., Thompson, P. M., Waldorp, L., & Nichols, T. E. (2014). Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. NeuroImage, 94, 287--302.
  • Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., & Cramer, A. O. (2014). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality.
  • Jahfari, S., Waldorp, L. J., Ridderinkhof, K. R., & Scholte, H. S. (2014). Visual information shapes the dynamics of cortico-basal ganglia pathways during perceptual response selection and inhibition. Journal of Vision, 14(10), 308--308.
  • Bringmann, L. Scholte, S., and Waldorp, L.J. (2013). Matching Structural, Effective, and Functional Connectivity: A Comparison Between Structural Equation Modeling and Ancestral Graphs. Brain Connectivity, 3 (4): 375-385.
  • Kievit, R.A, Frankenhuis, W.E., Waldorp, L.J., and Borsboom. (2013) Simpson's paradox in psychological science: a practical guide. Frontiers in Psychology, 4, 513.
  • Epskamp, S, Cramer, AOJ, Waldorp, LJ, Schmittmann, VD, and Borsboom, D. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical of Statistical Software, 28(4).
  • Weeda, WD, Grasman, RPPP, Waldorp, LJ, van de Laar, MC, van de Molen, MW, and Huizenga, HM (2012). A Fast and Reliable Method for Simultaneous Waveform, Amplitude and Latency Estimation of Single-Trial EEG/MEG Data. PloS One, 7(6): e38292.
  • Jahfari, S, Verbruggen, F, Frank, MJ, Waldorp, LJ, Colzato, L, Ridderinkhof, RK, and U. Forstmann, B (2012). How Preparation Changes the Need for Top-Down Control of the Basal Ganglia When Inhibiting Premature Actions. The Journal of Neuroscience, 32(32): 10870-10878.
  • Kievit, R.A., van Rooijen, H., Wicherts, J.M., Waldorp, L.J., Kan, K.J., Scholte, H.S., and Borsboom, D. (2012). Intelligence and the brain: A model-based approach. Cognitive Neuroscience, 3(2).
  • Schmittmann, V.D., Cramer, A.O.J., Waldorp, L.J., Epskamp, S., Kievit, R.A., Borsboom, D. (2011). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31(1): 43-53.
  • Borsboom, D., Cramer, A.O.J., Schmittmann, V.D., Epskamp, S., & Waldorp, L.J. (2011). The small world of psychopathology. PLoS ONE, 11, e27407.
  • Christoffels,I.K., Ven, V. v.d., Waldorp, L.J., Formisano, E., and Schiller, N.O. (2011). The sensory consequences of speaking: Parametric neural cancellation during speech in auditory cortex, PLoS One, 6(5), e18307.
  • Weeda, W.D., de Vos, F., Waldorp, L.J., Grasman, R., and Huizenga, H.M. (2011). arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data. Journal of Statistical Software, 44(14).
  • Kievit, R.A., Romeijn, J.W., Waldorp, L.J., Wicherts, J.M., Scholte, H.S. & Borsboom, D. (2011). Modeling Mind and Matter: Reductionism and Psychological Measurement in Cognitive Neuroscience. Psychological Inquiry, 22, 67-87.
  • Jahfari, S., Waldorp, L.J., Wildenberg, W.P.M., Scholte, H.S., Ridderinkhof, K.R., and Forstmann, B.U. (2011). Effective inhibition reveals important roles for both the hyperdirect (fronto-subthalamic) and the indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition, Journal of Neuroscience, 31(18), 6891-6899.
  • Waldorp, L.J., Christoffels, I.K., and van de Ven, V. (2011) Effective connectivity of fMRI data using ancestral graph theory: Dealing with missing regions, Neuroimage, 54, 2695 - 2705.
  • Weeda, W.D., Waldorp, L.J., Grasman, R.P.P.P., van Gaal, S., Huizenga, H.M. (2010). Functional connectivity analysis of fMRI data using parameterized regions-of-interest NeuroImage, 54(1), 410-416.
  • Cramer, A. O. J., Waldorp, L. J., van der Maas, H., & Borsboom, D. (2010) Comorbidity: A network perspective. Behavioral and Brain Sciences, 33, 137-150.
  • Waldorp, L.J. (2009). Robust and unbiased variance of GLM coefficients for misspecified autocorrelation and hemodynamic response models in fMRI. International Journal of Biomedical Imaging Volume 2009, Article ID 723912.