Risk assessment and decision analysis with Bayesian networks / Norman Fenton, and Martin Neil.

Contents

Chapter 1. Introduction
Chapter 2. Debunking Bad Statistics
Chapter 3. The Need for Causal, Explanatory Models in Risk Assessment
Chapter 4. Measuring Uncertainty: The Inevitability of Subjectivity
Chapter 5. The Basics of Probability
Chapter 6. Bayes' Theorem and Conditional Probability
Chapter 7. From Bayes' Theorem to Bayesian Networks
Chapter 8. Defining the Structure of Bayesian Networks
Chapter 9. Building and Eliciting Node Probability Tables
Chapter 10. Numeric Variables and Continuous Distribution Functions
Chapter 11.Decision Analysis, Decision Trees, Value of Information Analysis, and Sensitivity Analysis
Chapter 12. Hypothesis Testing and Confidence Intervals
Chapter 13. Modeling Operational Risk
Chapter 14. Systems Reliability Modeling
Chapter 15. The Role of Bayes in Forensic and Legal Evidence Presentation
Chapter 16. Building and Using Bayesian Networks for Legal Reasoning
Chapter 17. Learning from Data in Bayesian Networks

Includes bibliographical references and index p. 629-637