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Independent Natural Extension

机译:独立自然延伸

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摘要

We introduce a general definition for the independence of a number of finite-valued variables, based on coherent lower previsions. Our definition has an epistemic flavour: it arises from personal judgements that a number of variables are irrelevant to one another. We show that a number of already existing notions, such as strong independence, satisfy our definition. Moreover, there always is a least-committal independent model, for which we provide an explicit formula: the independent natural extension. Our central result is that the independent natural extension satisfies so-called marginalisation, associativity and strong factorisation properties. These allow us to relate our research to more traditional ways of defining independence based on factorisation.
机译:我们基于连贯的下层前提,为一些有限值变量的独立性引入了一个通用定义。我们的定义具有认识论的味道:它源于个人的判断,即许多变量彼此无关。我们表明,许多已经存在的概念(例如强独立性)都满足我们的定义。而且,总是有一个最小承诺的独立模型,为此我们提供了一个明确的公式:独立自然扩展。我们的主要结果是,独立的自然扩展满足了所谓的边缘化,关联性和强分解性。这些使我们能够将研究与基于因式分解来定义独立性的更传统方式联系起来。

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