Dilation and Asymmetric Relevance

Proceedings in Machine Learning Research, Vol. 103 (2019)
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A characterization result of dilation in terms of positive and negative association admits an extremal counterexample, which we present together with a minor repair of the result. Dilation may be asymmetric whereas covariation itself is symmetric. Dilation is still characterized in terms of positive and negative covariation, however, once the event to be dilated has been specified.
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Archival date: 2019-07-14
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Divisive Conditioning: Further Results on Dilation.Herron, Timothy; Seidenfeld, Teddy & Wasserman, Larry

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