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Bayesian inference for psychology, part III: Parameter estimation in nonstandard models.

Dora Matzke1, Udo Boehm2, Joachim Vandekerckhove3

  • 1University of Amsterdam, Amsterdam, Netherlands.

Psychonomic Bulletin & Review
|November 15, 2017
PubMed
Summary

Researchers can use popular Bayesian software packages like WinBUGS, JAGS, and Stan for psychological modeling. These tools, interfaced with R and MATLAB, offer flexible parameter estimation for complex models.

Keywords:
Bayesian estimationBayesian inferenceJAGSStanWinBUGS

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Area of Science:

  • Psychological Science
  • Computational Statistics
  • Quantitative Psychology

Background:

  • Bayesian statistical modeling is increasingly prevalent in psychological research.
  • Researchers require accessible software for estimating model parameters.
  • Existing software packages vary in their capabilities and ease of use.

Purpose of the Study:

  • To demonstrate the application of three popular Bayesian software packages: WinBUGS, JAGS, and Stan.
  • To illustrate how these packages can be integrated with R and MATLAB for psychological research.
  • To provide practical examples and a comparative analysis of the software's strengths and weaknesses.

Main Methods:

  • Utilized WinBUGS, JAGS, and Stan for Bayesian parameter estimation.
  • Interfaced Bayesian software with R and MATLAB programming environments.
  • Applied models to a univariate linear regression and a multinomial processing tree model for a false-memory experiment.

Main Results:

  • Successfully demonstrated the use of WinBUGS, JAGS, and Stan for psychological modeling.
  • Provided working code and data for reproducible research via an online repository.
  • Offered a comparative overview of the strengths and limitations of each software package.

Conclusions:

  • WinBUGS, JAGS, and Stan are valuable tools for psychological researchers employing Bayesian methods.
  • Interfacing these packages with R and MATLAB enhances their utility and accessibility.
  • The study provides a practical guide and resource for implementing advanced statistical models in psychology.