Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis /

• Main Authors: Kjærulff, Uffe B. (Author), Madsen, Anders L. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Series: Information Science and Statistics,
• Subjects: Statistics.; Mathematical statistics.; Data mining.; Artificial intelligence.; Operations research.; Management science.; Probabilities.; 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.

Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troublesh...

Table of Contents:

• Fundamentals
• Networks
• Probabilities
• Probabilistic Networks
• Solving Probabilistic Networks
• Model Construction
• Eliciting the Model
• Modeling Techniques
• Data-Driven Modeling
• Model Analysis
• Conflict Analysis
• Sensitivity Analysis
• Value of Information Analysis.