Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks

Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks / by Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter.

Winner of the 2002 DeGroot Prize. Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough...

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Bibliographic Details
Main Authors: Cowell, Robert G. (Author), Dawid, Philip (Author), Lauritzen, Steffen L. (Author), Spiegelhalter, David J. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Information Science and Statistics,
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Logic, Uncertainty, and Probability
  • Building and Using Probabilistic Networks
  • Graph Theory
  • Markov Properties on Graphs
  • Discrete Networks
  • Gaussian and Mixed Discrete-Gaussian Networks
  • Discrete Multistage Decision Networks
  • Learning About Probabilities
  • Checking Models Against Data
  • Structural Learning.

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