6. (6 poiats) Let (X(n),n 2 0) be the two-state Markow chain on states (o,I with...
6. (6 poiats) Let (X(n),n 2 0) be the two-state Markow chain on states (o,I with transition 1-6 61 probability matrix Find: (a) P(x(1)-oX(0) ,x(2) 0) Note. (b) is an unconditional joint robability so you will need to include the initial distribution P(X(0) = 0)-π。(0) and P(X(0) = 1)- (0)
Let X(n), n 0 be the two-state Markov chain on states (0,1) with transition probability matrix probability matrix 「1-5 Find: (a) P(x(1) = olX (0-0, X(2) = 0) (b) P(x(1)メx(2)). Note. (b) is an unconditional joint probability so you will nced t nclude the initi P(X(0-0)-To(0) and P(X(0-1)-n(0).
(n)," 2 0) be the two-state Markov chain on states (. i} with transition probability matrix 0.7 0.3 0.4 0.6 Find P(X(2) 0 and X(5) X() 0)
Let Xn be a Markov chain with state space {0, 1, 2}, and transition probability matrix and initial distribution π = (0.2, 0.5, 0.3). Calculate P(X1 = 2) and P(X3 = 2|X0 = 0) 0.3 0.1 0.6 p0.4 0.4 0.2 0.1 0.7 0.2
Let (X.) be a Marko chain with the state space (1.2,3) and transition proba- bility matrix 0 4 6 P 25 75 0 4 0 6 Let the initial distribution be q(0) [1(0), q2(0), s(0) [0.4, 0.2, 0.4] (a) Find ELX. (b) Calculate PlX,-2, X,-2, X,-11X,-1]. (c) To what matrix will the n-step transition probability matrix converge when n is very large? Your solution should be accurate to two decimal places.
Let Xn be a Markov chain with state space {0,1,2}, the initial probability vector and one step transition matrix a. Compute. b. Compute. 3. Let X be a Markov chain with state space {0,1,2}, the initial probability vector - and one step transition matrix pt 0 Compute P-1, X, = 0, x, - 2), P(X, = 0) b. Compute P( -1| X, = 2), P(X, = 0 | X, = 1) _ a. 3. Let X be a Markov chain...
0.5 0. and a probability Bonus. Consider a Markor chain with two states, an initial probability vector of po- transition matrix of P0.5 0.6 Let ?n denote the probability vector at periodn (a) Compute i b) Determine the steady state probability vector, tisfies PT- and v1 +21 02 S1, for each k where 0 SR 0.5 0. and a probability Bonus. Consider a Markor chain with two states, an initial probability vector of po- transition matrix of P0.5 0.6 Let...
Let p E [0,1] with pメ, and let (Xn)n=o b l e the Markov chain on with initia [0,1] given by distribution δο and transition matrix 11: Z Z ify=x-1 p 0 otherwise. Use the strong law of large numbers to show that each state is transient. Hint: consider another Markov chain with additional structure but with the same distribution and transition matrix Let p E [0,1] with pメ, and let (Xn)n=o b l e the Markov chain on with...
Suppose Xn is a Markov chain on the state space S with transition probability p. Let Yn be an independent copy of the Markov chain with transition probability p, and define Zn := (Xn, Yn). a) Prove that Zn is a Markov chain on the state space S_hat := S × S with transition probability p_hat : S_hat × S_hat → [0, 1] given by p_hat((x1, y1), (x2, y2)) := p(x1, x2)p(y1, y2). b) Prove that if π is a...