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MEGA VÝHODNÉ
Preface; Part I. Introduction to Modeling: 1. Introduction; 2. From words to models: building a toolkit; Part II. Parameter Estimation: 3. Basic parameter estimation techniques; 4. Maximum likelihood parameter estimation; 5. Combining information from multiple participants; 6. Bayesian parameter...
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Preface; Part I. Introduction to Modeling: 1. Introduction; 2. From words to models: building a toolkit; Part II. Parameter Estimation: 3. Basic parameter estimation techniques; 4. Maximum likelihood parameter estimation; 5. Combining information from multiple participants; 6. Bayesian parameter estimation: basic concepts; 7. Bayesian parameter estimation: Monte Carlo methods; 8. Bayesian parameter estimation: the JAGS language; 9. Multilevel or hierarchical modeling; Part III. Model Comparison: 10. Model comparison; 11. Bayesian model comparison using Bayes factors; Part IV. Models in Psychology: 12. Using models in psychology; 13. Neural network models; 14. Models of choice response time; 15. Models in neuroscience; Appendix A: Greek symbols; Appendix B: mathematical terminology; References; Index.
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- Nakladatel: Cambridge University Press
- Kód:
- Rok vydání: 2018
- Jazyk: Angličtina
- Vazba: Taschenbuch
- Počet stran: 503
- Šířka balení: 17.4 cm
- Výška balení: 24.6 cm
- Hloubka balení: 2.3 cm
- Váha balení: 980 g
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