Ebook: Chain event graphs
Author: Collazo Rodrigo, Görgen Christiane, Smith J. Q
- Genre: Mathematics // Probability
- Tags: Bayesian statistical decision theory., Mathematical statistics -- Graphic methods., Trees (Graph theory)
- Series: Series in computer science and data analysis
- Year: 2018
- Publisher: CRC Press is an imprint of Taylor & Francis Group
- Language: English
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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 Read more...
Abstract: 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