Publications

     

Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models

D. Matzke and U. Boehm and J. Vandekerckhove We demonstrate the use of three popular Bayesian software packages that enable researchers to estimate parameters in a broad class of models that are commonly used in psychological research. We focus on WinBUGS, JAGS, and Stan, and show how they can be interfaced from R and MATLAB. We illustrate the use of the packages through two fully worked examples; the examples involve a simple univariate linear regression and fitting a multinomial processing tree model to data from a classic false-memory experiment. We conclude with a comparison of the strengths and weaknesses of the packages. Our example code, data, and this text are available via https://osf.io/ucmaz/. DOI: 10.3758/s13423-017-1394-5

Citation

Matzke, D., Boehm, U., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models. Psychonomic Bulletin & Review, 25, 77–101.

BibTeX

@article{matzke2017bayesian,
  title     = {Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models},
  author    = {Matzke, D. and Boehm, U. and Vandekerckhove, J.},
  journal   = {Psychonomic Bulletin \& Review},
  year      = {2018},
  volume    = {25},
  pages     = {77--101},
  doi       = {10.3758/s13423-017-1394-5},
}