Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- 2 Exploratory Data Analysis
- 3 Probability Theory and Random Variables
- 4 Probabilistic Inference
- Part III Probabilistic Inference
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
3 - Probability Theory and Random Variables
from Part II - Statistics
Published online by Cambridge University Press: 05 November 2020
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- 2 Exploratory Data Analysis
- 3 Probability Theory and Random Variables
- 4 Probabilistic Inference
- Part III Probabilistic Inference
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Data-Driven Computational NeuroscienceMachine Learning and Statistical Models, pp. 96 - 140Publisher: Cambridge University PressPrint publication year: 2020
