Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks (Paperback)

This book is a winner of the 2002 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. 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Information Science and Statistics
Release date:	July 2007
First published:	1999
Authors:	Robert G Cowell • Philip Dawid • Steffen L. Lauritzen • David J. Spiegelhalter
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	324
ISBN-13:	978-0-387-71823-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	0-387-71823-0
Barcode:	9780387718231

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