Book contents
- Frontmatter
- Contents
- Dedication
- Preface
- Acknowledgements
- Part I Getting started
- Part II Parameter estimation
- Part III Model selection
- 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
- References
- Index
14 - Multinomial processing trees
Published online by Cambridge University Press: 05 June 2014
- Frontmatter
- Contents
- Dedication
- Preface
- Acknowledgements
- Part I Getting started
- Part II Parameter estimation
- Part III Model selection
- 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
- References
- Index
Summary
- Type
- Chapter
- Information
- Bayesian Cognitive ModelingA Practical Course, pp. 187 - 195Publisher: Cambridge University PressPrint publication year: 2014