Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 88
Number of items: 88
  • Open Access
    Kucharský, Š., Visser, I., Truțescu, G.-O., Laurence, P. G., Zaharieva, M., & Raijmakers, M. E. J. (2020). Cognitive strategies revealed by clustering eye movement transitions. Journal of Eye Movement Research, 13(1), Article 1. https://doi.org/10.16910/jemr.13.1.1
  • Open Access
    van Renswoude, D. R. (2020). Looking (for) patterns: Real-world scene viewing in infants and adults. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2020). Uncertainty-driven regulation of learning and exploration in adolescents: A computational account. PLoS Computational Biology, 16(9), Article e1008276. https://doi.org/10.1371/journal.pcbi.1008276
  • Open Access
    Bayarri, M. J., Berger, J. O., Jang, W., Ray, S., Pericchi, L. R., & Visser, I. (2019). Prior-based Bayesian information criterion. Statistical Theory and Related Fields, 3(1), 2-13. https://doi.org/10.1080/24754269.2019.1582126
  • Open Access
    van Renswoude, D. R., van den Berg, L., Raijmakers, M. E. J., & Visser, I. (2019). Infants' center bias in free viewing of real-world scenes. Vision Research, 154, 44-53. https://doi.org/10.1016/j.visres.2018.10.003
  • Open Access
    van Renswoude, D. R., Visser, I., Raijmakers, M. E. J., Tsang, T., & Johnson, S. P. (2019). Real-world scene perception in infants: What factors guide attention allocation? Infancy, 24(5), 693-717. https://doi.org/10.1111/infa.12308
  • Open Access
    Schaaf, J. V., Jepma, M., Visser, I., & Huizenga, H. M. (2019). A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning. Journal of Mathematical Psychology, 93, Article 102276. https://doi.org/10.1016/j.jmp.2019.102276
  • Open Access
    Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., ... Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review, 26(4), 1051-1069. https://doi.org/10.3758/s13423-017-1417-2
  • Open Access
    Berger, J., Jang, W., Ray, S., Pericchi, L., & Visser, I. (2019). Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser. Statistical Theory and Related Fields, 3(1), 37-39. https://doi.org/10.1080/24754269.2019.1611147
  • Open Access
    van Renswoude, D. R., Raijmakers, M. E. J., Koornneef, A., Johnson, S. P., Hunnius, S., & Visser, I. (2018). Gazepath: An eye-tracking analysis tool that accounts for individual differences and data quality. Behavior Research Methods, 50(2), 834-852. https://doi.org/10.3758/s13428-017-0909-3
Page 4 of 9