Q2 Consider a disability model with three states: Healthy
(H)
, Disabled (DI), and Dead (DE). The transi- tions between these states are governed by a non-homogeneous continuous-time Markov chain. The transition rates are given as follows: The rate of transitioning from H to DI at time
t
is
\lambda _(H,DI)(t)=0.02+0.001t
. The rate of transitioning from DI to DE at time
t
is
\lambda _(DI,DE)(t)=0.03+0.002t
. The rate of transitioning from H to DE at time
t
is
\lambda _(H,DE)(t)=0.01
. There are no transitions from DI to H or from DE to any other state. (a) Write down the generator matrix
Q(t)
for this non-homogeneous continuous-time Markov chain. (b) Given that an individual is Healthy at time
t=0
, compute the probability that the individual will stay health over
0,10
. (c) Compute the probability that an individual who is disabled at time
t=0
will not be alive at time
t=10
. (d) Compute the probability that an individual who is healthy at time
t=0
will be disabled at time
t=10
. (Hint: You can use
R
if necessary.)