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Risk Assessment And Decision Analysis With Bayesian Networks
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Although Many Bayesian Network (Bn) Applications Are Now In Everyday Use, Bns Have Not Yet Achieved Mainstream Penetration. Focusing On Practical Realworld Problem Solving And Model Building, As Opposed To Algorithms And Theory, Risk Assessment And Decision Analysis With Bayesian Networks Explains How To Incorporate Knowledge With Data To Develop And Use (Bayesian) Causal Models Of Risk That Provide Powerful Insights And Better Decision Making.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, And More Introduces All Necessary Mathematics, Probability, And Statistics As Neededthe Book First Establishes The Basics Of Probability, Risk, And Building And Using Bn Models, Then Goes Into The Detailed Applications. The Underlying Bn Algorithms Appear In Appendices Rather Than The Main Text Since There Is No Need To Understand Them To Build And Use Bn Models. Keeping The Body Of The Text Free Of Intimidating Mathematics, The Book Provides Pragmatic Advice About Model Building To Ensure Models Are Built Efficiently.A Dedicated Website, Www.Bayesianrisk.Com, Contains Executable Versions Of All Of The Models Described, Exercises And Worked Solutions For All Chapters, Powerpoint Slides, Numerous Other Resources, And A Free Downloadable Copy Of The Agenarisk Software.
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- Q: How many pages does the book have? A: The book contains five hundred twenty-four pages. It provides extensive coverage of risk assessment and decision analysis using Bayesian networks.
- Q: What is the binding type of this book? A: The binding type is hardcover. This ensures durability and a professional appearance, suitable for both personal and professional environments.
- Q: What are the dimensions of the book? A: The book measures seven point twenty-five inches in length, one inch in width, and ten inches in height. These dimensions make it a practical size for reading and referencing.
- Q: Who is the author of this book? A: The author is Norman Fenton. He brings expertise in Bayesian networks and risk analysis, making this book a valuable resource.
- Q: What is the main focus of this book? A: The book focuses on practical real-world problem solving and model building. It emphasizes using Bayesian causal models for risk assessment and informed decision-making.
- Q: How can I use Bayesian networks for risk assessment? A: You can use Bayesian networks by incorporating knowledge with data to build causal models. The book provides guidance on model building to facilitate effective risk analysis.
- Q: Is this book suitable for beginners? A: Yes, the book is suitable for beginners. It introduces necessary mathematics and statistics without overwhelming readers with complex algorithms.
- Q: Can I find practical examples in this book? A: Yes, the book includes extensive example models based on real risk assessment problems. These examples cover various application domains like finance and safety.
- Q: What resources are available on the dedicated website? A: The dedicated website, www.BayesianRisk.com, offers executable versions of models, exercises, worked solutions, PowerPoint slides, and downloadable software.
- Q: How do I safely store the book? A: Store the book in a dry, cool place away from direct sunlight. Proper storage will help maintain the book's condition over time.
- Q: Is there a warranty for this book? A: Books typically do not come with warranties. However, you can check the return policy with the retailer if there are any issues.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer immediately to initiate a return or exchange. Most retailers have clear policies for such situations.
- Q: Are there exercises included in the book? A: Yes, the book includes exercises for each chapter. These exercises help reinforce the concepts covered and provide practical application.
- Q: What mathematical concepts are covered in the book? A: The book introduces essential mathematics, probability, and statistics as needed for understanding Bayesian networks. It focuses on practical application rather than theory.
- Q: Can I use this book for academic purposes? A: Yes, this book is suitable for academic purposes. It provides a comprehensive overview of Bayesian networks in risk assessment, making it ideal for students and professionals alike.