how to programme to calculate transition probability matrix?

Suppose I have a sequence of states like 1,3,3,1,2,1,4,2,3,1,4,2,4,4,4,3,1,2,5,1. Transition probability matrix calculated by following equation probability=(number of pairs x(t) followed by x(t+1))/(number of pairs x(t) followed by any state). transition probability matrix calculated by manually by me as follows
1 3 2 4 5
1 0 1/5 2/5 2/5 0
3 3/4 1/4 0 0 0
2 1/4 1/4 0 1/4 1/4
4 0 1/5 2/5 2/5 0
5 1 0 0 0 0
how to programme to obtain above transition probability matrix.

Answers (1)

E.g., brute force:
m = max(x);
n = numel(x);
y = zeros(m,1);
p = zeros(m,m);
for k=1:n-1
y(x(k)) = y(x(k)) + 1;
p(x(k),x(k+1)) = p(x(k),x(k+1)) + 1;
end
p = bsxfun(@rdivide,p,y); p(isnan(p)) = 0;
The p matrix will be ordered by natural indexing. E.g., 1, 2, 3, 4, 5 for the above example. It will not be ordered as 1, 3, 2, 4, 5 as you have it above. I.e., the probability of going from state i to state j is p(i,j).

4 Comments

But in that I also have to count no. of states so that I can replace m by total state number.
I don't understand your comment. Are you saying that you have arbitrary state numbers which are not necessarily 1 through m?
I have a sequence in which states may not be start from 1 and also may not have subsequent numbers i.e. some numbers may be absent so sequence like this 12,14,6,15,15,15,15,6,8,8,18,18,14,14 so I want build transition probability matrix and it should be like below
6 8 12 14 15 18
6 0 1/2 0 0 1/2 0
8 0 1/2 0 0 0 1/2
12 0 0 0 1 0 0
14 1/2 0 0 1/2 0 0
15 1/4 0 0 0 3/4 0
18 0 0 0 0 1/2 1/2
I tried by above programme but matrix forms from number 1 to max number of state i.e. 18, so finally matrix becomes 18*18 order but i want matrix like above because states which are not present corresponding position becomes 0 and matrix becomes very large. In matrix redundancy occurs at places because of 0, so how to built matrix like above posted by me.
The brute force code above is giving 5 if you sum up all probabilities ??
Shouldn't it be: p = bsxfun(@rdivide,p,n) ?
However, this, i.e. sum(sum(p)) also gives only 0.95 (not 1). I am confused now.
Maybe: p = bsxfun(@rdivide,p,n-1) ??

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Asked:

on 5 May 2016

Edited:

on 10 Nov 2018

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