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?
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?