Question

Consider the query P (Rain│Sprinkler = true, Wet-Grass = true) in Figure (a) and how MCMC can answer it.
a. How many states does the Markov chain have?
b. Calculate the transition matrix Q containing q (y → y’) for all y. y’.
c. What does Q2, the square of the transition matrix, represent?
d. What about Q n as n →∞?
e. Explain how to do probabilistic inference in Bayesian networks, assuming that Q’ is available. Is this a practical way to do inference?




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  • CreatedFebruary 14, 2011
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