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Influence Diagrams Belief Nets & Decision         Analysis : Wiley Series in Probability & Mathematical Statistics - Robert M. Oliver

Influence Diagrams Belief Nets & Decision Analysis

Wiley Series in Probability & Mathematical Statistics

By: Robert M. Oliver (Editor), James Q. Smith (Editor)

Hardcover

Published: 8th January 1991
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These are the proceedings of a conference which reflected the growing interest in the use of influence diagrams, belief nets and graph-related models for prediction and decision analysis in engineering, statistics, operations research, management science, medicine and artificial intelligence. The conference brought together decision theory and operations research analysts, statisticians, computer scientists, engineers and experts from a variety of disciplines, to discuss the theory and applications of influence diagrams (IDs). These people were all from communities that use probabilistic models, mathematical models and structures for the propagation of evidence, statistical inference and prediction. The result is a sample of diverse research results and applications where IDs are being used. IDs were originally developed for use in the practice of decision analysis. When modelling practical problems it is necessary to combine different components of the problem into a coherent and mutually acceptable description. IDs are a powerful tool to facilitate communication between groups of clients and the decision analyst or modeller and to represent changing assumptions in a graphical manner that reveals difficult independence assumptions. They help to focus on internal dependencies as a whole rather than in disjointed sections. The conference concluded that IDs are valuable for solving difficult problems associated with probabilistic models, representation of large amounts of information, prediction, inference and decision-making.

Partial table of contents:

MODEL FORMULATION AND ANALYSIS.

From Influence to Relevance to Knowledge (R. Howard).

Complexity, Calibration and Causality in Influence Diagrams (T. Speed).

THEORETICAL FOUNDATIONS.

Statistical Principles on Graphs (J. Smith).

Influence and Belief Adjustment (M. Goldstein).

PROBLEMS AND APPLICATIONS: INDUSTRIAL.

Real Time Influence Diagrams for Monitoring and Controlling Mechanical Systems (A. Agonino & K. Ramamurthi).

A Socio-technical Approach to Assessing Human Reliability (L. Phillips, et al.).

Bayesian Updating of Event Tree Parameters to Predict High Risk Incidents (R. Oliver & H. Yang).

PROBLEMS AND APPLICATIONS: MEDICAL.

EFFICIENCY AND COMPUTATIONAL ISSUES.

Towards Efficient Probabilistic Diagnosis in Multiply Connected Belief Networks (M. Henrion).

Towards Better Assessment and Sensitivity Procedures (R. Korsan).

Summary Observations (R. Howard).

Glossary.

Index.

ISBN: 9780471923817
ISBN-10: 0471923818
Series: Wiley Series in Probability & Mathematical Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 500
Published: 8th January 1991
Country of Publication: GB
Dimensions (cm): 23.62 x 15.98  x 3.35
Weight (kg): 0.84
Edition Number: 1