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Results for finite mixture models

Publications & Outputs

  1. A new Bayesian approach for determining the number of components in a finite mixture

    Aitkin, M., Vu, D. & Francis, B., 21/08/2015, In: Metron. 73, 2, p. 155-175 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Evaluating differential effects using regression interactions and regression mixture models

    Van Horn, M. L., Jaki, T., Maysn, K., Howe, G., Feaster, D., Lamont, A. E., George, M. & Kim, M., 08/2015, In: Educational and Psychological Measurement. 75, 4, p. 677-714 38 p.

    Research output: Contribution to journalJournal articlepeer-review