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. . Language: English