bookApr 14, 2014Closed access

Bayesian Cognitive Modeling: A Practical Course

University of California, Irvine · University of Amsterdam

Abstract

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of…

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Topics & keywords

Keywords
  • Bayesian probability
  • Multinomial distribution
  • Computer science
  • Artificial intelligence
  • Mixture model
  • Bayesian inference
  • Model selection
  • Machine learning
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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