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A conditional independence framework for coherent modularized inference

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 نشر من قبل Manuele Leonelli
 تاريخ النشر 2018
  مجال البحث الاحصاء الرياضي
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Inference in current domains of application are often complex and require us to integrate the expertise of a variety of disparate panels of experts and models coherently. In this paper we develop a formal statistical methodology to guide the networking together of a diverse collection of probabilistic models. In particular, we derive sufficient conditions that ensure inference remains coherent across the composite before and after accommodating relevant evidence.



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