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Informative Hypotheses

Joris Mulder

MulderMy expertises are Bayesian model selection, (in)equality constrained modeling, and computerized adaptive testing.

See my Tilburg University webpage for more information

Research Topics

  • Bayesian model selection
  • (In)equality constrained modeling
  • Computerized adaptive testing

Key publications

  • Mulder, J., Hoijtink, H., & de Leeuw, C. (2012). BIEMS: A Fortran 90 program for calculating Bayes factors for inequality and equality constrained models. Journal of Statistical Software.
  • Mulder, J. & Fox, J.-P. (2011). Bayesian tests for variance components in a compound symmetry covariance structure. Statistics and Computing.
  • Mulder, J., Hoijtink, H., & Klugkist, I. (2010). Equality and inequality constrained multivariate linear models: Objective model selection using constrained posterior priors. Journal of Statistical Planning and Inference, 140, 887-906.
  • Mulder, J., Klugkist, I., van de Schoot, A., Meeus, W., Selfhout, M., & Hoijtink, H. (2009). Bayesian model selection of informative hypotheses for repeated measurements. Journal of Mathematical Psychology, 53, 530-546.