Kernel function interpretation problem

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Alessandro Ruda
Alessandro Ruda am 31 Mär. 2021
Bearbeitet: Aditya Patil am 5 Apr. 2021
Dear MatLab comunity,
I have a distribution that I fitted with the Kernel function. See below.
A1 = load('trajrmsd_I_1_1_c.txt');
A1_RMSD = A1(:,2);
[f,xi] = ksdensity(A1_RMSD);
The point is that in the y axis i get values higher than 1. Is that normal? How is it rationalized?
All the best,

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Aditya Patil
Aditya Patil am 5 Apr. 2021
Bearbeitet: Aditya Patil am 5 Apr. 2021
As ksdensity returns the probability density, it can be higher than one. The integral of this function, which is the total probability, will be 1.
See the following code for example,
A1 = load('trajrmsd_I_1_1_c.txt');
A1_RMSD = A1(:,2);
[f,xi] = ksdensity(A1_RMSD);
fitobj = fit(xi', f', 'linearinterp');
integralfun = @(x)(fun(x, fitobj));
integral(integralfun, 0, 2.5) % this gives integral over entire range
function y = fun(x, fitobj)
y = feval(fitobj, x)';
y = max(0, y);
To consider an analogous example, if you consider a rectangle with unit area, it's height can be made arbitrarily large by making the width smaller than 1 for e.g., height = 5, and width = 0.2. The area will however remain 1.

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