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