Modeling and Reasoning with Bayesian Networks
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
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Review: Modeling and Reasoning with Bayesian NetworksUser Review - Daniel Korzekwa - Goodreads
It's an excellent book on Bayesian Networks. After reading it I gained a solid understanding on how Bayesian Networks work as well as how to design and use them to solve real probabilistic problems ... Read full review
Innovations in Bayesian Networks: Theory and Applications
Dawn E. Holmes,Lakhmi C. Jain
Limited preview - 2008