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The answer is one of the following: Please be descriptive!! Thank you :) 2. Suppose that...
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3. A Markov chain with state space S 1,2,3) has transition matrix 0.1 0.3 0.6 P-0 0.4 0.6 0.3 0.2 0.5 with initial distribution(0.2,0.3,0.5). Note that if you use the Markov Property, please indicate where you used it. Compute the following: (b) P(Xo 3| X1 1) Answers (in random order): 0.6,-2,-1,0, 1,2),5/36, 19/64,15/17.1/3 1-p p 1-p 0 1 00 0 1-p 0 114 0 3/4 1/21/2), 2/31/3). 0...
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5. Let Xo, X1,... be a Markov chain with state space S- 11,2,3] and transition matrix 0 1/2 1/2 P-1100 1/3 1/3 1/3 and initial distribution a (1/2,0, 1/2). Find the following: (a) P(X2=1 | X1-3) (b) P(X1 = 3, X2-1) Answers (in random order): 0.6,-2,-1,0, 1,2),5/36, 19/64,15/17.1/3 1-p p 1-p 0 1 00 0 1-p 0 114 0 3/4 1/21/2), 2/31/3). 0 1-p 0 p 0 1-p...
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4. (Dobrow 2.5) Consider a random walk on [0,., k), which moves left and right with respective probabilities q and p. If the walk is at 0 it transitions to 1 on the next step. If the walk is at k it transitions to k 1 on the next step. This is called random walk with reflecting boundaries. Assume that k 3, q1/4, p 3/4, and the...
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1. Use this exercise to convince yourself that using different probabilities, the same discrete time chain may produce different stationary discrete time Markov chains with different transition matrices (we only consider two probabilities here in this problem; there are many other proba- bilities that can be chosen for which the process is not stationary or does not satisfy the Markov property). Consider two states 0 or 1 which a process...
2. Suppose that {Yİだi are iid random variables such that P(Y-1) = p and P(Y,--1) = 1-p. Define the process (Xn)000 by the following recursive relationship Xo = 0 and -2 for n 2 1. Show that (a) (Xn)n=0 is a stationary discrete time Markov chain. (b) Find its state space S, and (c) Calculate its transition matrix P (making sure the entries in P are ordered consistently with the ordering you gave for S).
1. Let Xn be a Markov chain with states S = {1, 2} and transition matrix ( 1/2 1/2 p= ( 1/3 2/3 (1) Compute P(X2 = 2|X0 = 1). (2) Compute P(T1 = n|Xo = 1) for n=1 and n > 2. (3) Compute P11 = P(T1 <0|Xo = 1). Is state 1 transient or recurrent? (4) Find the stationary distribution à for the Markov Chain Xn.
3. Let U1, U2,. be a sequence of independent Ber(p) random variables. Define Xo 0 and Xn+1-Xn +2Un-1, 1,2,.. (a) Show that X, n 0,1,2, is a Markov chain, and give its transition graph. (b) Find EX and Var(X) c)Give P(X
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1. (10 points) (Without Python) Suppose that there are 4 songs on your professor's half marathorn running playlist (e.g. Eastside; Better Now; Lucid Dreams; Harder, Better, Faster, Stronger). She sets it in shuffle mode which plays songs uniformly at random, sampling with replacement (i.e. repeats are possible). Let Xn be the number of unique songs that have been heard after the nth song played with Xo -0 (a) Briefly explain why (Xn)20 forms...
Problem 5. A Markov chain Xn, n probability matrix: 0 with states 1, 2, 3 has the following transition 0 1/3 2/3 1/2 0 1/2 If P(o-: 1)-P(Xo-2-1/4, calculate E(%) (use a computer).
Problem 5. A Markov chain Xn, n probability matrix: 0 with states 1, 2, 3 has the following transition 0 1/3 2/3 1/2 0 1/2 If P(o-: 1)-P(Xo-2-1/4, calculate E(%) (use a computer).
4. Let Z1, Z2,... be a sequence of independent standard normal random variables. De- fine Xo 0 and n=0, 1 , 2, . . . . TL: n+1 , The stochastic process Xn,n 0, 1,2,3 is a Markov chain, but with a continuous state space. (a) Find EXn and Var(X). (b) Give probability distribution of Xn (c) Find limn oo P(X, > є) for any e> 0. (d) Simulate two realisations of the Markov process from n = 0 until...