A01=Russel .G Almond
Author_Russel .G Almond
Basic Events
Belief Function
Bernoulli Process
Category=KJMD
Category=KJQ
Category=PBWH
Component Failure Rates
Conditional
Direct Sum
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Failure Probability
Fault Tree
Focal Element
Graph Theory
Graphical Model
Graphical Models
Influence Diagrams
Information Dependence
Joint
Junction Tree
Lattice Conditioning
Markov Tree
Mass Function
Model Hypergraph
Monte Carlo Algorithm
Monte Carlo Estimates
Monte Carlo Experiment
Monte Carlo Procedure
Pivotal Variables
Poisson Process
Probabilistic Graphical Models
Probability
Projecting Potentials
Propagation Algorithm
Random Variables
Simple Fault Tree
Subjective and Objective
System Failure
The STS Notation
Top Level Event
Product details
- ISBN 9780412066610
- Weight: 816g
- Dimensions: 210 x 280mm
- Publication Date: 30 Nov 1995
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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This innovative volume explores graphical models using belief functions as a representation of uncertainty, offering an alternative approach to problems where probability proves inadequate. Graphical Belief Modeling makes it easy to compare the two approaches while evaluating their relative strengths and limitations.
The author examines both theory and computation, incorporating practical notes from the author's own experience with the BELIEF software package. As one of the first volumes to apply the Dempster-Shafer belief functions to a practical model, a substantial portion of the book is devoted to a single example--calculating the reliability of a complex system. This special feature enables readers to gain a thorough understanding of the application of this methodology.
The first section provides a description of graphical belief models and probablistic graphical models that form an important subset: the second section discusses the algorithm used in the manipulation of graphical models: the final segment of the book offers a complete description of the risk assessment example, as well as the methodology used to describe it.
Graphical Belief Modeling offers researchers and graduate students in artificial intelligence and statistics more than just a new approach to an old reliability task: it provides them with an invaluable illustration of the process of graphical belief modeling.
Almond, Russel .G
