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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis [electronic resource] / by Uffe B. Kjærulff, Anders L. Madsen.

Kjærulff, Uffe B. (author.). Madsen, Anders L. (author.). SpringerLink (Online service) (Added Author).

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ISBN: 9781461451044
Physical Description: XVII, 382 p. 186 illus. online resource.
Edition: Second Edition.
Publisher: New York, NY : Springer New York : 2013.

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Subject:

Statistics.
Computer science.
Data mining.
Artificial intelligence.
Distribution (Probability theory).
Mathematical statistics.
Statistics.
Statistics and Computing/Statistics Programs.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence (incl. Robotics).
Operations Research, Management Science.
Probability Theory and Stochastic Processes.

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Table of Contents

	Introduction
	Networks
	Probabilities
	Probabilistic Networks
	Solving Probabilistic Networks
	Eliciting the Model
	Modeling Techniques
	Data-Driven Modeling
	Conflict Analysis
	Sensitivity Analysis
	Value of Information Analysis
	Quick Reference to Model Construction
	List of Examples
	List of Figures
	List of Tables
	List of Symbols
	References
	Index.

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