Imprecise Bayesian Networks as Causal Models
This article considers the extent to which Bayesian networks with imprecise probabilities, which are used in statistics and computer science for predictive purposes, can be used to represent causal structure. It is argued that the adequacy conditions for causal representation in the precise context&...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Information |
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| Online Access: | http://www.mdpi.com/2078-2489/9/9/211 |