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  • 1
    Online Resource
    Online Resource
    Cambridge, United Kingdom : Cambridge University Press
    UID:
    gbv_851395422
    Format: 1 Online-Ressource (xiii, 264 Seiten) , Illustrationen, Diagramme
    ISBN: 9781139087759
    Content: 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
    Note: Literaturverzeichnis: Seite 252-262
    Additional Edition: ISBN 9781107018457
    Additional Edition: ISBN 9781107603578
    Additional Edition: Erscheint auch als Druck-Ausgabe Lee, Michael D., 19XX - Bayesian cognitive modeling Cambridge : Cambridge University Press, 2013 ISBN 9781107603578
    Additional Edition: ISBN 9781107018457
    Language: English
    Subjects: Psychology , Mathematics
    RVK:
    RVK:
    Keywords: Bayes-Verfahren ; Kognitionswissenschaft ; Informationsverarbeitung ; Methodologie
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