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  1. Home
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  3. Bayesian Cognitive Modeling
  • Cited by 1092
Publisher:
Cambridge University Press
Online publication date:
June 2014
Print publication year:
2014
Online ISBN:
9781139087759
DOI:
https://doi.org/10.1017/CBO9781139087759
Subjects:
Life Sciences, Psychology Research Methods and Statistics, Cognitive Psychology, Psychology
Information

Book description

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 chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Reviews

‘This book provides the best practical guide to date on how to do Bayesian modeling in cognitive science.’

Jay Myung - Ohio State University

‘This is a very powerful exposition of how Bayesian methods, and WinBUGS in particular, can be used to deal with cognitive models that are apparently intractable. When we produced WinBUGS, we had no idea it could be used like this - it's amazing and gratifying to see these applications.’

David Spiegelhalter - Winton Professor for the Public Understanding of Risk, Statistical Laboratory, Centre for Mathematical Sciences, Cambridge

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