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Bayesian inference using WBDev: a tutorial for social scientists.

Ruud Wetzels1, Michael D Lee, Eric-Jan Wagenmakers

  • 1Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands. wetzels.ruud@gmail.com

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Summary
This summary is machine-generated.

This tutorial introduces the WinBUGS Development Interface (WBDev) for custom distribution and function definition in Bayesian data analysis. It demonstrates WBDev

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Area of Science:

  • Empirical sciences
  • Psychological sciences
  • Computational statistics

Background:

  • Bayesian data analysis popularity has surged in empirical sciences.
  • WinBUGS software facilitates complex model building with predefined functions.
  • Need for custom distributions and functions in psychological sciences.

Purpose of the Study:

  • Illustrate the use of the WinBUGS Development Interface (WBDev).
  • Demonstrate defining custom distributions and functions within WinBUGS.
  • Showcase WBDev applications in psychological research.

Main Methods:

  • Tutorial format using concrete examples.
  • Utilizing the WinBUGS Development Interface (WBDev).
  • Application to expectancy-valence model and shifted Wald distribution.

Main Results:

  • Successful definition and implementation of custom distributions and functions.
  • Demonstrated utility of WBDev for specific psychological models.
  • Provided practical examples for user implementation.

Conclusions:

  • WBDev enhances WinBUGS flexibility for custom statistical modeling.
  • WBDev is valuable for advanced Bayesian analysis in psychological sciences.
  • Tutorial provides a practical guide for WBDev implementation.