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Bayesian Networks and Decision Graphs
This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the fir...more
Hardcover, 447 pages
Published
June 6th 2007
by Springer
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Not bad. Writing style can be somewhat terse. Sometimes he meanders off into to many examples without really explaining things first. The first couple chapters however are some of the better ones I've read as far as an introduction to Bayesian thinking and models.
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