Table of Contents

Introduction.- Networks.- Probabilities.- Probabilistic Networks.- Solving Probabilistic Networks.- Eliciting the Model.- Modeling Techniques.- Data-Driven Modeling.- Conflict Analysis.- Sensitivity Analysis.- Value of Information Analysis.

Reviews

From the reviews: "The book under review is by two well known contributors to this general area. ... the book, consisting of five chapters, provides a very clear, insightful introduction to this theory. ... This is a good book for learning or teaching an important, practically useful topic. There are many good examples and example-based discussions." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (3), 2008) Kjaerulff, Bayesian networks and influence Diagrams: ... "This book is written for practitioners wishing to understand, construct, and analyze decision support systems based on Bayesian networks and influence diagrams. ...Simple worked examples are provided throughout...and exercises are included after each chapter. ...this book is a useful addition to the texts on Bayesian networks. ...covers many key aspects in the construction and analysis of decision support systems based on Bayesian networks and influence diagrams, achieving the authors' stated goal; ...I would certainly put this book on my reading list for decision analysis classes and recommend it for research students using these techniques..."(Journal of the American Statistical Association, September 2009, Vol. 104, No. 487)