Overview
- Winner of the De.
- Groot Prize 2002, the only book prize in the field of statistics
Part of the book series: Information Science and Statistics (ISS)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
WINNER OF THE 2001 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 and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. It covers both the updating of probabilistic uncertainty in the light of new evidence, and statistical inference, about unknown probabilities or unknown model structure, in the light of new data. The careful attention to detail will make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems.
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.
Reviews
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."
Authors and Affiliations
Bibliographic Information
Book Title: Probabilistic Networks and Expert Systems
Book Subtitle: Exact Computational Methods for Bayesian Networks
Authors: Robert G. Cowell, A. Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter
Series Title: Information Science and Statistics
DOI: https://doi.org/10.1007/b97670
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-387-98767-5Published: 22 June 1999
Softcover ISBN: 978-0-387-71823-1Published: 16 July 2007
eBook ISBN: 978-0-387-22630-9Published: 29 May 2006
Series ISSN: 1613-9011
Series E-ISSN: 2197-4128
Edition Number: 1
Number of Pages: XII, 324
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Artificial Intelligence