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How can I create a custom probability distribution?

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I want to define a custom discrete probability mass function. Can I do this using `makedist` or perhaps some other function, if so how?

Accepted Answer

Paul
Paul on 18 Feb 2022
Check out the doc page for distributionFitter and the associated Distribution Fitter app. Despite the name, the app can be used to define a custom distribution that you can subsequently use to create objects of that distribution.

More Answers (1)

David Hill
David Hill on 18 Feb 2022
Edited: David Hill on 18 Feb 2022
p = [0.2 0.3 0.5];%probabilities
v = [3 7 10];%discrete values
% P(X=3)=0.2, P(X=7)=0.3 and P(X=10)=0.5 Probability Mass Function
n = 10000;%number of samples
c = cumsum([0,p(:).']);
c = c/c(end);%ensure cumulative is 1
[~,i] = histc(rand(1,n),c);
r = v(i);%map, generates n samples with the probability mass function provided
  1 Comment
L'O.G.
L'O.G. on 18 Feb 2022
Edited: L'O.G. on 18 Feb 2022
Thanks, but I don't think that's quite it. I guess I was unclear. Perhaps I should've said: I'd like to create a custom probability distribution object. I'd like to do that to be able to define a discrete pmf. That's why modifying makedist sounds like a possibility.

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