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PSet 18: Markov Chains

(videos: Markov Models and Chain Example)

  1. 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.


    P(X1=a)=0.9P(X_1=a) = 0.9
    P(X1=b)=0.1P(X_1=b) = 0.1


    And the transition probabilities:

X(t-1)X(t)P(X_t | X_t-1)
aa0.2
ab0.8
ba0.6
bb0.4
P(X3=a) = ___________

P(X3=b) = ___________
  1. Given the following transition probabilities of a markov chain, what is the stationary distribution?

X(t-1)X(t)P
aa0.5
ab0.5
ba0.8
bb0.2
P(X=a) = ___________

P(X=b) = ___________
  1. Given the following transition probabilities of a markov chain, what is the stationary distribution?

X(t-1)X(t)P
cc0.6
cd0.4
dc0.3
dd0.7
P(X=c) = ___________

P(X=d) = ___________