Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
Books | 519.542 COL (Browse shelf) | Available | 031814 |
519.542 BIN Rational decisions | 519.542 BOL Introduction to Bayesian Statistics | 519.542 CAL Introduction to Bayesian Scientific Computing : ten lectures on subjective computing | 519.542 COL Chain event graphs | 519.542 CON Applied Bayesian modelling | 519.542 DAM Bayesian theory and applications | 519.542 DAR Modeling and reasoning with Bayesian networks |
Includes bibliographical references.
A chain event graph (CEG) is an important generalization of the Bayesian Network (BN). BNs have been extremely useful for modeling discrete processes. However, they are not appropriate for all applications. Over the past six years or so, teams of researchers led by Jim Smith have established a strong theoretical underpinning for CEGs. This book systematically and transparently presents the scope and promise of this emerging class of models, together with its underpinning methodology, to a wide audience.
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