Bayesian Networks and Decision Graphs / Edition 1

Bayesian Networks and Decision Graphs / Edition 1

by Finn V. Jensen
     
 

ISBN-10: 0387952594

ISBN-13: 9780387952598

Pub. Date: 05/28/2002

Publisher: Springer-Verlag New York, LLC

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,

Overview

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.

Product Details

ISBN-13:
9780387952598
Publisher:
Springer-Verlag New York, LLC
Publication date:
05/28/2002
Series:
Statistics for Engineering and Information Science Ser.
Edition description:
Older Edition
Pages:
268
Product dimensions:
6.30(w) x 9.30(h) x 0.80(d)

Table of Contents

Causal and Bayesian Networks
• Part I: A Practical Guide to Normative Systems: Building Models
• Learning, Adaptation, and Tuning
• Decision Graphs
• Part II: Algorithms for Normative Systems: Belief Updating in Bayesian Networks
• Bayesian Network Analysis Tools
• Algorithms for Influence Diagrams

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