Question: In the figure, the structure of a simple Bayesian network is shown. The accompanying conditional probability tables are shown, too, and the prior probabilities for

In the figure, the structure of a simple Bayesian network is shown. The accompanying conditional probability tables are shown, too, and the prior probabilities for A are 0.9 and 0.1. Are A and C d-separated given B? Are A and C conditionally independent given B?

 In the figure, the structure of a simple Bayesian network is

shown. The accompanying conditional probability tables are shown, too, and the prior

probabilities for A are 0.9 and 0.1. Are A and C d-separated

B A=0A = 42 B=b1 0.3 0.6 B = 62 0.7 0.4 Table 2.5. P(BA) A=0A = 42 B=b1 0.3 0.6 B = 62 0.7 0.4 Table 2.5. P(BA) B A=0A = 42 B=b1 0.3 0.6 B = 62 0.7 0.4 Table 2.5. P(BA) A=0A = 42 B=b1 0.3 0.6 B = 62 0.7 0.4 Table 2.5. P(BA)

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