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

By: Contributor(s): Material type: TextTextPublication details: Boca Raton : Chapman & Hall/CRC, c2019.Edition: 2nd edDescription: xxi, 637 p. : ill. ; 26 cmISBN:
  • 9781138035119
Subject(s): DDC classification:
  • 519.542 FE RI
Online resources: Summary: 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.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 519.542 FE RI (Browse shelf(Opens below)) Available Feb2020 T0063833

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.

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