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Beschreibung
Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.
Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.
Über den Autor
Michael D. Lee is a professor in the Department of Cognitive Sciences at the University of California, Irvine.
Zusammenfassung
Ideal for teaching and self study, this practical book demonstrates how cognitive scientists can conduct Bayesian analyses for many real-life modeling problems. Supported by examples, exercises, computer code and additional resources available online, readers will learn to take full advantage of the exciting possibilities that the Bayesian approach affords.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Theoretische Psychologie |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781107603578 |
ISBN-10: | 1107603579 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Lee, Michael D.
Wagenmakers, Eric-Jan |
Hersteller: | Cambridge University Press |
Maße: | 246 x 189 x 16 mm |
Von/Mit: | Michael D. Lee (u. a.) |
Erscheinungsdatum: | 28.04.2016 |
Gewicht: | 0,547 kg |
Über den Autor
Michael D. Lee is a professor in the Department of Cognitive Sciences at the University of California, Irvine.
Zusammenfassung
Ideal for teaching and self study, this practical book demonstrates how cognitive scientists can conduct Bayesian analyses for many real-life modeling problems. Supported by examples, exercises, computer code and additional resources available online, readers will learn to take full advantage of the exciting possibilities that the Bayesian approach affords.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Theoretische Psychologie |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781107603578 |
ISBN-10: | 1107603579 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Lee, Michael D.
Wagenmakers, Eric-Jan |
Hersteller: | Cambridge University Press |
Maße: | 246 x 189 x 16 mm |
Von/Mit: | Michael D. Lee (u. a.) |
Erscheinungsdatum: | 28.04.2016 |
Gewicht: | 0,547 kg |
Warnhinweis