Bayesian Networks and Influence Diagrams

A Guide to Construction and Analysis

  • Uffe B. Kjærulff
  • Anders L. Madsen

Part of the Information Science and Statistics book series (ISS)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Fundamentals

    1. Pages 3-15
    2. Pages 17-36
    3. Pages 37-62
    4. Pages 63-106
  3. Model Construction

    1. Pages 143-176
    2. Pages 177-226
    3. Pages 227-257
  4. Model Analysis

    1. Pages 261-271
    2. Pages 273-290
  5. Back Matter
    Pages 305-319

About this book


Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding.

The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.

Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen holds a PhD on probabilistic networks and is the CEO of HUGIN Expert A/S.


Bayesian network Information artificial intelligence calculus classification data mining influence diagram intelligence intelligent systems learning modeling probabilistic graphical model probabilistic network uncertainty verification

Authors and affiliations

  • Uffe B. Kjærulff
    • 1
  • Anders L. Madsen
    • 2
  1. 1.Department of Computer ScienceAalborg UniversityAalborgDenmark
  2. 2.HUGIN Expert A/SAalborgDenmark

Bibliographic information