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1 of 2 people found the following review helpful:
5.0 out of 5 stars Perfect handbook for applications with Bayesian networks
This book is a good handbook for Bayesian practitioners to get a first-hand knowledge on the broad applications with Bayesian networks in different fields.

In this book, each application is illustrated with rich examples. However, it would be interesting for the next edition(if possible) to include examples of both learning and constructing the Bayesian...
Published 15 months ago by michael

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5 of 5 people found the following review helpful:
3.0 out of 5 stars Limited value
Publisher's description exaggerates the book's pedagogical value; it is a collection of short essays describing applications, and authors do not seem especially concerned with theory. Quality is variable, editorial effort missing-in-action (typos galore) - a typical Wiley book, and an easy return decision.

Published on October 6, 2009 by Dimitri Shvorob


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5 of 5 people found the following review helpful:
3.0 out of 5 stars Limited value, October 6, 2009
This review is from: Bayesian Networks: A Practical Guide to Applications (Statistics in Practice) (Hardcover)
Publisher's description exaggerates the book's pedagogical value; it is a collection of short essays describing applications, and authors do not seem especially concerned with theory. Quality is variable, editorial effort missing-in-action (typos galore) - a typical Wiley book, and an easy return decision.

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1 of 2 people found the following review helpful:
5.0 out of 5 stars Perfect handbook for applications with Bayesian networks, October 8, 2010
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This review is from: Bayesian Networks: A Practical Guide to Applications (Statistics in Practice) (Hardcover)
This book is a good handbook for Bayesian practitioners to get a first-hand knowledge on the broad applications with Bayesian networks in different fields.

In this book, each application is illustrated with rich examples. However, it would be interesting for the next edition(if possible) to include examples of both learning and constructing the Bayesian networks. Currently, in some fields, learning part is missing.
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Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
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