PSet 18: Markov Chains
(videos: Markov Models and Chain Example)
Given the following transition probabilities for a markov chain, what is the probability distribution at X3? Assume the first node is X1 like so: X1 -> X2 -> X3
Show your work on the right and fill in the two blanks at the bottom.
And the transition probabilities:
| X(t-1) | X(t) | P(X_t | X_t-1) |
|---|---|---|
| a | a | 0.2 |
| a | b | 0.8 |
| b | a | 0.6 |
| b | b | 0.4 |
P(X3=a) = ___________
P(X3=b) = ___________Given the following transition probabilities of a markov chain, what is the stationary distribution?
| X(t-1) | X(t) | P |
|---|---|---|
| a | a | 0.5 |
| a | b | 0.5 |
| b | a | 0.8 |
| b | b | 0.2 |
P(X=a) = ___________
P(X=b) = ___________Given the following transition probabilities of a markov chain, what is the stationary distribution?
| X(t-1) | X(t) | P |
|---|---|---|
| c | c | 0.6 |
| c | d | 0.4 |
| d | c | 0.3 |
| d | d | 0.7 |
P(X=c) = ___________
P(X=d) = ___________