Bayesian Networks and Decision Graphs

by Thomas Dyhre Nielsen, Finn V. Jensen

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 first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.

Genres: Mathematics

463 pages, Hardcover

First published May 31, 2002

Reviews

[Casey · Rating 3 out of 5]

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.