Probabilistic networks and expert systems: exact computational methods for Bayesian networks / Robert G Cowell and others
Material type:
TextSeries: Information science and statisticsPublication details: New York : Springer, 2007Description: xii, 321p, 22cmISBN: - 9780387718231
- 519.20285633 COW
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Calcutta | 519.20285633 COW (Browse shelf(Opens below)) | Available | IIMC-124446 |
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| 519.202855133 BAC Introduction to probability with R / | 519.20285536 HAS Introduction to probability with Mathematica / | 519.20285554 LEV Statistics for managers using Microsoft Excel / | 519.20285633 COW Probabilistic networks and expert systems: | 519.20288 SYM Proceedings | 519.2076 CAC Exercises in probability | 519.2076 GRI One thousand exercises in probability / |
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.
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