Probabilistic Networks and Expert Systems

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Beschreibung

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.

Zusammenfassung

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.

Inhaltsverzeichnis

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.

Erscheinungsjahr:	2007
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Information Science and Statistics
Inhalt:	xii 324 S.
ISBN-13:	9780387718231
ISBN-10:	0387718230
Sprache:	Englisch
Herstellernummer:	12028931
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Cowell, Robert G. Spiegelhalter, David J. Lauritzen, Steffen L. Dawid, Philip
Hersteller:	Springer New York Springer US, New York, N.Y. Information Science and Statistics
Maße:	235 x 155 x 19 mm
Von/Mit:	Robert G. Cowell (u. a.)
Erscheinungsdatum:	16.07.2007
Gewicht:	0,511 kg

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