Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks - Information Science and Statistics (Hardback)Robert G. Cowell (author), Philip Dawid (author), Steffen L. Lauritzen (author), David J. Spiegelhalter (author)
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Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.
Publisher: Springer-Verlag New York Inc.
Number of pages: 324
Weight: 1440 g
Dimensions: 235 x 155 x 20 mm
Edition: 1st ed. 1999. Corr. 2nd printing 2003
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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