Bayesian Networks and Influence Diagrams: A Guide to Construction and
Analysis, Second Edition, 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 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.