
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Let X = {Xt,t ≥ 0} be a continuous-time homogeneous Markov chain with an intensity matrix Q and state space S = {1, 2, . . . , m}. The sample path of X is observed continuously on a finite interval [0, T ], T < ∞, from which the following statistics are recorded
Nij =# i → j transitions of X,
Zi =the amount of time X spends in state i ∈ S in total.
Using these information, we want to estimate the intensity matrix Q. Let qi = −qii for each i ∈ S . It is known that the likelihood function of the sample path is given by
mm
L(qij,i, j ∈ S) = Y Y (qij)Nije−qiZi,
i=1 j=1, j,i
(a) Write down the loglikelihood function.
(b) Show that the maximum likelihood estimator bqi j of qi j is given by bq i j = N i j .
k,i
0
e−qiuqik pk j(t − u)du. (1)
Hint: Recall that q = Pm q . i j=1,j,i ij
1
Zi
(c) In a numerical study, a sample path is observed within time window [0, 50]. Con- sider the following realization of sample paths
>X
[1] 2 1 3 2 1 2 3 2 1 3 2 1 3
>T
[1] 0.00 1.43 7.41 10.71 15.03 17.02 25.12 27.12
32.05 33.00 36.60 44.41 52.08
Based on this realizations, estimate the intensity matrix of X.
(d) Find the average time the process spends in each state. Compare your findings
against the above realizations
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