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Results: 7
Number of items: 7
  • Visser, I., & Speekenbrink, M. (2014). Comments on: Latent Markov models: a review of a general framework for the analysis longitudinal data with covariates. Test, 23(3), 478-483. https://doi.org/10.1007/s11749-014-0389-z
  • Open Access
    Visser, I., & Speekenbrink, M. (2014). It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), CogSci 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26 (Vol. 2, pp. 1688-1693). Cognitive Science Society. https://mindmodeling.org/cogsci2014/papers/294/
  • Open Access
    Visser, I., & Speekenbrink, M. (2010). depmixS4: an R-package for hidden Markov models. Journal of Statistical Software, 36(7), 1-21. http://www.jstatsoft.org/v36/i07/
  • Open Access
    Speekenbrink, M. (2005). Consensus and methodology. [Thesis, fully internal, Universiteit van Amsterdam].
  • Speekenbrink, M. (2004). De ongegronde eis tot consensus in de methodologie. Nederlands Tijdschrift voor de Psychologie, 59, 1-11.
  • Speekenbrink, M. (2003). Adaptive Thinking: Rationality in the real world. Review of G. Gigenzer, Adaptive Thinking: Rationality in the real world. EADM Bulletin: Spring Edition, 16-18.
  • Speekenbrink, M. (2003). The hierarchical theory and statistical model selection. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J. J. Meulman (Eds.), New developments in psychometrics (pp. 331-338). Springer.
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