Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks

This book was awarded the first DeGroot Prize by the International Society for Bayesian Analysis for a book making an important, timely, thorough, and notably original contribution to the statistics literature. Robert G. Cowell is a Lecturer in the Faculty of Actuarial Science and Insurance of the S...

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Bibliographic Details
Main Authors: Cowell, Robert G., Dawid, Philip (Author), Lauritzen, Steffen L. (Author), Spiegelhalter, David J. (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 1999, 1999
Edition:1st ed. 1999
Series:Information Science and Statistics
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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