Construct · 1 fields · 1 citations

d-separation: a standalone construct

One name. One construct. A landmark on the map.

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Knowledge representation

a graphical criterion for reading conditional independencies off a Bayesian network by checking whether paths between variables are blocked.

In knowledge representation, d-separation refers to a graphical criterion for reading conditional independencies off a Bayesian network by checking whether paths between variables are blocked. This meaning comes from Geiger (1990) in Networks.[1]

Unit
Recovery means
Measured by

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Nearby constructs

Bayesian network1 fields · 1 citationsanchor · a standalone construct conditional3 fields · 3 citationsjingle · one word, three constructs knowledge6 fields · 12 citationsjingle · one name, six constructs

References

Geiger, D., Verma, T., & Pearl, J. (1990). Identifying independence in bayesian networks. Networks, 20(5), 507-534. https://doi.org/10.1002/net.3230200504

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