Risk Assessment and Decision Analysis with Bayesian Networks
eBook - ePub

Risk Assessment and Decision Analysis with Bayesian Networks

  1. 638 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Risk Assessment and Decision Analysis with Bayesian Networks

About this book

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions.

Features

  • Provides all tools necessary to build and run realistic Bayesian network models

  • Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more

  • Introduces all necessary mathematics, probability, and statistics as needed

  • Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications

A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.

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Yes, you can access Risk Assessment and Decision Analysis with Bayesian Networks by Norman Fenton,Martin Neil in PDF and/or ePUB format, as well as other popular books in Mathematics & Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2018
Print ISBN
9781138035119
eBook ISBN
9781351978965
Edition
2
Topic
Mathematics
Subtopic
Management
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Foreword
  8. Preface
  9. Acknowledgments
  10. Authors
  11. Chapter 1: Introduction
  12. Chapter 2: Debunking Bad Statistics
  13. Chapter 3: The Need for Causal, Explanatory Models in Risk Assessment
  14. Chapter 4: Measuring Uncertainty: The Inevitability of Subjectivity
  15. Chapter 5: The Basics of Probability
  16. Chapter 6: Bayes’ Theorem and Conditional Probability
  17. Chapter 7: From Bayes’ Theorem to Bayesian Networks
  18. Chapter 8: Defining the Structure of Bayesian Networks
  19. Chapter 9: Building and Eliciting Node Probability Tables
  20. Chapter 10: Numeric Variables and Continuous Distribution Functions
  21. Chapter 11: Decision Analysis, Decision Trees, Value of Information Analysis, and Sensitivity Analysis
  22. Chapter 12: Hypothesis Testing and Confidence Intervals
  23. Chapter 13: Modeling Operational Risk
  24. Chapter 14: Systems Reliability Modeling
  25. Chapter 15: The Role of Bayes in Forensic and Legal Evidence Presentation
  26. Chapter 16: Building and Using Bayesian Networks for Legal Reasoning
  27. Chapter 17: Learning from Data in Bayesian Networks
  28. Appendix A: The Basics of Counting
  29. Appendix B: The Algebra of Node Probability Tables
  30. Appendix C: Junction Tree Algorithm
  31. Appendix D: Dynamic Discretization
  32. Appendix E: Statistical Distributions
  33. Index