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Chapman and Hall/CRC Risk Assessment and Decision Analysis with Bayesian Networks - 2nd Edition

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Description

The second edition of this comprehensive guide to Bayesian networks equips professionals with practical methods for real-world risk assessment and decision-making. Updated with new material on influence diagrams, learning from data, value of information, and cybersecurity applications, this book bridges the gap between theoretical knowledge and practical implementation. Learn how to integrate domain expertise with empirical data to build causal models that deliver superior insights compared to traditional statistical approaches. Ideal for managers, analysts, and decision-makers across finance, business, and risk management sectors who need actionable frameworks for complex problem-solving without getting bogged down in algorithmic detail.

Key Features

Bayesian networks methodology provides more powerful insights and better decision-making than conventional statistical approaches for risk modelling.

Second edition includes new chapters on influence diagrams, learning from data, value of information, and cybersecurity risk applications.

Focuses on practical real-world problem-solving and model building rather than abstract algorithms and mathematical theory.

Chapman and Hall/CRC publication combines domain knowledge integration with data-driven approaches for causal model development.

Addresses debunking bad statistics and demonstrates how to critically evaluate flawed analytical reasoning in business contexts.

Suitable for managers, analysts and decision-makers who need actionable risk frameworks without advanced technical background.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2024
Listed Since
09 August 2024

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