Probabilistic Networks and Expert Systems by Robert G Cowell

Probabilistic Networks and Expert Systems by Robert G Cowell

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.

From the reviews:

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

"This important book fills a void in the graphical Markov models literatureThe authors have summarized their extensive and influential work in this area and provided a valuable resource both for educators and for practitioners."

William Twining is Quain Professor of Jurisprudence Emeritus at University College London.

Philip Dawid is Professor of Statistics at the University of Cambridge.

SKU	Non disponible
ISBN 13	9780387987675
ISBN 10	0387987673
Titre	Probabilistic Networks and Expert Systems
Auteur	Robert G Cowell
Série	Information Science And Statistics
État	Non disponible
Type de reliure	Hardback
Éditeur	Springer-Verlag New York Inc.
Année de publication	1999-06-22
Nombre de pages	324
Note de couverture	La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note	Non disponible