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Consider the query P(RainSprinklertrue,WetGrasstrue) in Figure rain-clustering-figure(a) (page rain-clustering-figure) and how Gibbs sampling can answer it.
1. How many states does the Markov chain have?
2. Calculate the transition matrix Q containing q(y y) for all y, y.
3. What does  Q2, the square of the transition matrix, represent?
4. What about Qn as n?
5. Explain how to do probabilistic inference in Bayesian networks, assuming that Qn is available. Is this a practical way to do inference?

Consider the query P(RainSprinklertrue,WetGrasstrue) in Figure rain-clustering-figure(a) (page rain-clustering-figure) and how Gibbs sampling can answer it.
1. How many states does the Markov chain have?
2. Calculate the transition matrix Q containing q(y y) for all y, y.
3. What does  Q2, the square of the transition matrix, represent?
4. What about Qn as n?
5. Explain how to do probabilistic inference in Bayesian networks, assuming that Qn is available. Is this a practical way to do inference?





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