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Multinormal Bayesian Analysis; Two Examples

By: Martin, J. J. (James John)
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Bayesian Networks Representations, Generalized Imputation, And Syn...

By: U.S. Census Bureau Department

Statistical Reference Document

Excerpt: Graphical representation of Bayes Nets and other probabilistic relationships date to Lauritzen and Spiegelhalter (1988). They are used extensively in machine learning. For instance, Figure 2 in Getoor et al. (2001) (reprinted below) demonstrates an efficient representation of Census data. 951 parameters are able to represent a potentially large number of cells in a contingency table (7 billion).

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Bayesian Networks Representations, Generalized Imputation, And Syn...

By: Yves Thibaudeau

Statistical Reference Document

Excerpt: This paper reports the results of research and analysis undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This paper is released to inform interested ...

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Bayesian Networks Representations, Generalized Imputation, And Syn...

By: Yves Thibaudeau

Statistical Reference Document

Introduction: Graphical representation of Bayes Nets and other probabilistic relationships date to Lauritzen and Spiegelhalter (1988). They are used extensively in machine learning. For instance, Figure 2 in Getoor et al. (2001) (reprinted below) demonstrates an efficient representation of Census data. 951 parameters are able to represent a potentially large number of cells in a contingency table (7 billion). Bayes Net software will quickly determine dependency relations...

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Defense Acquisition Review Journal : December 2007: December 2007

By: Norene L. Fagan Blanch, Editor

Description: A scholarly peer-reviewed journal published by the Defense Acquisition University (DAU).

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