Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative

作者: S. L. Lauritzen , N. Wermuth

DOI: 10.1214/AOS/1176347003

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摘要: We define and investigate classes of statistical models for the analysis associations between variables, some which are qualitative quantitative. In cases where only one kind variables is present, well-known either contingency tables or covariance structures. characterize subclass decomposable theory especially simple. All can be represented by a graph with vertex each variable. The vertices possibly connected arrows lines corresponding to directional symmetric being present. Pairs that not conditionally independent given remaining according specific rules.

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