Inference in Bayesian Networks - MIT OpenCourseWare

Inference in Bayesian Networks Now that we know what the semantics of Bayes nets are; what it means when we ... techniques based on statistical sampling. 4. Lecture 16 • 4. Query Types. Given a Bayesian network, what questions might we ... compute the probability of x given e for all possible values of x and see which one is greatest. 8 ...

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There is a strong relationship between this algorithm and Gibbs sampling. { In Gibbs sampling we sample from the conditional. { In coordinate ascent variational inference, we iteratively set each factor to distribution of z k/expfE[log(conditional)]g: (26) Easy example: Multinomial conditionals { Suppose the conditional is multinomial p(z jjz j;x

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