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Epsilon-Identifiability of Causal Quantities

Li, Ang et al.
arXiv (All) · Papers
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artificial-intelligencestatistics-theory
Identifying the effects of causes and causes of effects is vital in virtually every scientific field. Often, however, the needed probabilities may not be fully identifiable from the available data sources. This paper shows how approximate identifiability is still possible for several probabilities o
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