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- W1659881107 abstract "The relationship between algebraic geometry and the inferential frameworkof the Bayesian Networks with hidden variables has now been fruitfully exploredand exploited by a number of authors. More recently the algebraic formulation of CausalBayesian Networks has also been investigated in this context. After reviewing thesenewer relationships, we proceed to demonstrate that many of the ideas embodied in theconcept of a causal model can be more generally expressed directly in terms of a partialorder and a family of polynomial maps. The more conventional graphical constructions,when available, remain a powerful tool." @default.
- W1659881107 created "2016-06-24" @default.
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- W1659881107 date "2007-09-21" @default.
- W1659881107 modified "2023-09-27" @default.
- W1659881107 title "ALGEBRAIC CAUSALITY: BAYES NETS AND BEYOND" @default.
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