Michael D. Lee, Eric-Jan Wagenmakers

Bayesian Cognitive Modeling

• Gebundenes Buch

Produktbeschreibung

Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 280
• Erscheinungstermin: 4. Juli 2014
• Englisch
• Abmessung: 260mm x 183mm x 20mm
• Gewicht: 727g
• ISBN-13: 9781107018457
• ISBN-10: 1107018455
• Artikelnr.: 40550838

Autorenporträt

Michael D. Lee is a professor in the Department of Cognitive Sciences at the University of California, Irvine.

Inhaltsangabe

Part I. Getting Started: 1. The basics of Bayesian analysis
2. Getting started with WinBUGS
Part II. Parameter Estimation: 3. Inferences with binomials
4. Inferences with Gaussians
5. Some examples of data analysis
6. Latent mixture models
Part III. Model Selection: 7. Bayesian model comparison
8. Comparing Gaussian means
9. Comparing binomial rates
Part IV. Case Studies: 10. Memory retention
11. Signal detection theory
12. Psychophysical functions
13. Extrasensory perception
14. Multinomial processing trees
15. The SIMPLE model of memory
16. The BART model of risk taking
17. The GCM model of categorization
18. Heuristic decision-making
19. Number concept development.