Chain event graphs
By: Collazo, Rodrigo A.
Contributor(s): Görgen, Christiane | Smith, J. Q.
Material type:
BookPublisher: Boca Raton : CRC Press, 2018Description: xx, 233 p. : ill. ; 24.2 cm.ISBN: 9781498729604.Subject(s): Bayesian statistical decision theory | Mathematical statistics | Graphic methods | Probability & StatisticsDDC classification: 519.542 Summary: 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.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 519.542 COL (Browse shelf) | Available | 031814 |
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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