A Graphical Approach to Diagnosing the Validity of the Conditional Independence Assumptions of a Bayesian Network Given Data

Bayesian networks (BNs) have attained widespread use in data analysis and decision making. Well-studied topics include efficient inference, evidence propagation, parameter learning from data for complete and incomplete data scenarios, expert elicitation for calibrating BN probabilities, and structur...

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Bibliographic Details
Published in:	Journal of computational and graphical statistics Vol. 21; no. 4; pp. 961 - 978
Main Authors:	Walsh, Stephen, Whitney, Paul
Format:	Journal Article
Language:	English
Published:	Alexandria Taylor & Francis Group 01-12-2012 American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America Taylor & Francis Ltd
Subjects:	Bayesian analysis Bayesian networks Computer software Conditional probabilities Data analysis Data models Data validity Decision making Graphics Graphs Independence Logical givens Mathematical models Modeling Monte Carlo Parameter estimation Parametric models Research Articles: Network Models Structural model diagnostics Studies
Online Access:	Get full text
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