Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- Part III Probabilistic Inference
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- 13 Bayesian Networks
- 14 Markov Networks
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
13 - Bayesian Networks
from Part V - Probabilistic Graphical Models
Published online by Cambridge University Press: 05 November 2020
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- Part III Probabilistic Inference
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- 13 Bayesian Networks
- 14 Markov Networks
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
Summary
- Type
- Chapter
- Information
- Data-Driven Computational NeuroscienceMachine Learning and Statistical Models, pp. 489 - 546Publisher: Cambridge University PressPrint publication year: 2020