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Temporal causal graph

Qualitative Diagnosis Through Temporal Causal Graphs... [Pg.241]

The Bayesian network approach is promising but there are limitations we have mentioned already the restriction to acyclic graphs (no loops in the network) and the issue of Markovian independence. There are others the presence of causal connectivity, as discussed in chapters 5 and 6, can be implied, can be indicated, but can not be determined. Finally, there is no rational basis, as yet, for connecting a Bayesian network with a chemical, biological, or genetic reaction mechanism the equivalents of the concepts of temporal dynamics of reaction mechanisms, of rate coefficients, and of reversibility of elementary reactions are missing from Bayesian networks. [Pg.220]


See other pages where Temporal causal graph is mentioned: [Pg.16]    [Pg.241]    [Pg.242]    [Pg.264]    [Pg.452]    [Pg.3829]    [Pg.16]    [Pg.241]    [Pg.242]    [Pg.264]    [Pg.452]    [Pg.3829]    [Pg.67]    [Pg.67]   
See also in sourсe #XX -- [ Pg.241 , Pg.242 , Pg.264 ]




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