Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
By: by Uffe B. Kjærulff, Anders L. Madsen
Contributors: Madsen, Anders L.; SpringerLink (Online service)
Edition: 2nd ed. 2013.
Series: Information Science and Statistics -- 22
Publisher: Springer New York; Imprint: Springer
Published: 2013
Place of publication: New York, NY
Language: eng
Format: [electronic resource] /
Number of pages: 382
ISBN-13: 9781461451044
Subjects: Probability Theory and Stochastic Processes; Statistics; Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Distribution (Probability theory); Mathematical statistics; Artificial Intelligence (incl. Robotics); Data mining; Management Science Operations Research; Statistics and Computing/Statistics Programs; Artificial intelligence; Computer science
Description: <p><i>Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition,</i> provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix.  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 or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined based on numerous courses the authors have held for practitioners worldwide.  </p><p>Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen of HUGIN EXPERT A/S holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University.</p>
Table of contents: title: Introduction; title: Networks; title: Probabilities; title: Probabilistic Networks; title: Solving Probabilistic Networks; title: Eliciting the Model; title: Modeling Techniques; title: Data-Driven Modeling; title: Conflict Analysis; title: Sensitivity Analysis; title: Value of Information Analysis; title: Quick Reference to Model Construction; title: List of Examples; title: List of Figures; title: List of Tables; title: List of Symbols; title: References; title: Index.