Probabilistic Networks and Expert Systems
Exact computational methods for Bayesian networks
(Sprache: Englisch)
The work reviewed in this book represents the synthesis of two important developments in modelling of complex stochastic phenomena. The book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms.
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The work reviewed in this book represents the synthesis of two important developments in modelling of complex stochastic phenomena. The book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms.
Klappentext zu „Probabilistic Networks and Expert Systems “
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.Inhaltsverzeichnis zu „Probabilistic Networks and Expert Systems “
Introduction.- 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.Autoren-Porträt von Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen
Steffen L. Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.
Bibliographische Angaben
- Autoren: Robert G. Cowell , Philip Dawid , Steffen L. Lauritzen
- 2007, 324 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, New York
- ISBN-10: 0387718230
- ISBN-13: 9780387718231
- Erscheinungsdatum: 16.07.2007
Sprache:
Englisch
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