Probabilistic Networks and Expert Systems
Exact Computational Methods for Bayesian Networks
Published on 29. May 2006
XII, 324 pages
978-0-387-22630-9 (ISBN)
Description
The work reviewed in this book represents the synthesis of two
important developments in modelling of complex stochastic phenomena.
This book will be an essential reference for people interested in
artificial intelligence in both computer science and statistics.
Reviews / Votes
From the reviews:
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
"This important book fills a void in the graphical Markov models literature. The authors have summarized their extensive and influential work in this area and provided a valuable resource both for educators and for practitioners."
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Other editions
Additional editions
Robert G. Cowell | Philip Dawid | Steffen L. Lauritzen
Probabilistic Networks and Expert Systems
Exact Computational Methods for Bayesian Networks
Book
07/2007
1st Edition
Springer
€128.39
Shipment within 5-7 days
Robert G. Cowell | Philip Dawid | Steffen L. Lauritzen
Probabilistic Networks and Expert Systems
Exact Computational Methods for Bayesian Networks
Book
06/1999
Springer
€181.89
Shipment within 5-7 days
Content
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.
