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?:abstract
  • "We discuss two parameterizations of models for marginal independencies for discrete distributions which are representable by bi-directed graph models, under the global Markov property. Such models are useful data analytic tools especially if used in combination with other graphical models. The first parameterization, in the saturated case, is also known as the multivariate logistic transformation, the second is a variant that allows, in some (but not all) cases, variation independent parameters. An algorithm for maximum likelihood fitting is proposed, based on an extension of the Aitchison and Silvey method." Der ALLBUS 1998 wird in diesem Beitrag als Beispieldatensatz genutzt. (xsd:string)
?:author
?:comment
  • (ALLBUS) (xsd:string)
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  • ALLBUS-Bibliography (xsd:string)
?:dateCreated
  • Aufgenommen: 24. Fassung, Februar 2010 (xsd:gyear)
?:dateModified
  • 2009 (xsd:gyear)
?:datePublished
  • 2009 (xsd:gyear)
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?:fromPage
  • 559 (xsd:string)
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?:inLanguage
  • english (xsd:string)
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?:issueNumber
  • 3 (xsd:string)
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?:name
  • Parameterizations and Fitting of Bi-directed Graph Models to Categorical Data (xsd:string)
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  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Scandinavian Journal of Statistics, 36(3), 559-576, 2009 (xsd:string)
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  • ALLBUS (xsd:string)
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  • 2009 (xsd:string)
  • ALLBUS (xsd:string)
  • ALLBUS1998 (xsd:string)
  • ALLBUS_input2009 (xsd:string)
  • ALLBUS_pro (xsd:string)
  • ALLBUS_version24 (xsd:string)
  • FDZ_ALLBUS (xsd:string)
  • SCIEindexed (xsd:string)
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  • 576 (xsd:string)
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?:uploadDate
  • 09.01.2008 (xsd:gyear)
?:volumeNumber
  • 36 (xsd:string)