2. A bank classifies loans as paid in full(F), in good standing (G), in arrears (A), or as a bad debt (B). Loans move between the categories according to the transition matrix: P = F G A B F 1 0 0 0 G .1 .8 .1 0 A .1 .4 .4 .1 B 0 0 0 1 What fraction of loans in good standing are eventually paid in full? (That is, starting at state G, what is the probability that the chain eventually visits F?)
2. A bank classifies loans as paid in full(F), in good standing (G), in arrears (A), or as a bad debt (B). Loans move between the categories according to the transition matrix: P = F G A B F 1 0 0 0 G .1 .8 .1 0 A .1 .4 .4 .1 B 0 0 0 1 What fraction of loans in good standing are eventually paid in full? (That is, starting at state G, what is the probability that the chain eventually visits F?)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:• General notation for Markov chains: P(A) is the probability of the event A when the Markov
chain starts in state x, Pμ(A) the probability when the initial state is random with distribution μ.
Ty = min{n ≥ 1 : X₂ = y} is the first time after 0 that the chain visits state y. Px,y = Px(Ty < ∞) . Ny
is the number of visits to state y after time 0.
2.
A bank classifies loans as paid in full(F), in good standing (G), in arrears (A), or as a bad debt
(B). Loans move between the categories according to the transition matrix:
P =
F
G A B
F
1 0 0 0
G
.1 .8 .1
0
A
.1
.4 .4 .1
B 0
0 0 1
What fraction of loans in good standing are eventually paid in full? (That is, starting at state G, what
is the probability that the chain eventually visits F?)
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