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Copula directed acyclic graphs

机译:Copula有向无环图

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摘要

A new methodology for selecting a Bayesian network for continuous data outside the widely used class of multivariate normal distributions is developed. The 'copula DAGs' combine directed acyclic graphs and their associated probability models with copula C/D-vines. Bivariate copula densities introduce flexibility in the joint distributions of pairs of nodes in the network. An information criterion is studied for graph selection tailored to the joint modeling of data based on graphs and copulas. Examples and simulation studies show the flexibility and properties of the method.
机译:开发了一种用于选择贝叶斯网络以获取广泛使用的多元正态分布之外的连续数据的新方法。 “ copula DAG”将有向无环图及其关联的概率模型与copula C / D-vines相结合。双变量copula密度在网络中节点对的联合分布中引入了灵活性。针对基于图和copula的数据联合建模量身定制的图选择研究了一种信息准则。实例和仿真研究表明了该方法的灵活性和特性。

著录项

  • 来源
    《Statistics and computing》 |2017年第1期|55-78|共24页
  • 作者单位

    Katholieke Univ Leuven, ORSTAT, Naamsestr 69, B-3000 Leuven, Belgium|Katholieke Univ Leuven, Leuven Stat Res Ctr, Naamsestr 69, B-3000 Leuven, Belgium;

    Katholieke Univ Leuven, ORSTAT, Naamsestr 69, B-3000 Leuven, Belgium|Katholieke Univ Leuven, Leuven Stat Res Ctr, Naamsestr 69, B-3000 Leuven, Belgium;

    Katholieke Univ Leuven, Dept Math, Celestijnenlaan 200B, B-3001 Heverlee, Belgium|Katholieke Univ Leuven, Leuven Stat Res Ctr, Celestijnenlaan 200B, B-3001 Heverlee, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Directed acyclic graph; Copula; C-vine; D-vine; Model selection;

    机译:有向无环图;Copula;C-vine;D-vine;模型选择;

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