how do we plot a bivariate normal distribution from one side?

2 Ansichten (letzte 30 Tage)
Dear all
I plot the following bivariate distribution
mu = [0 0];
Sigma = [.25 .3; .3 1];
x1 = -3:.2:3; x2 = -3:.2:3;
[X1,X2] = meshgrid(x1,x2);
F = mvnpdf([X1(:) X2(:)],mu,Sigma);
F = reshape(F,length(x2),length(x1));
surf(x1,x2,F);
caxis([min(F(:))-.5*range(F(:)),max(F(:))]);
axis([-3 3 -3 3 0 .4])
xlabel('x1'); ylabel('x2'); zlabel('Probability Density');
My question is how do I plot the joint density from the vantage point of x1 or x2? So I want to obtain a 2D graph that shows x1 (or x2) on the x-axis and the density values on the y-axis
Any help is greatly appreciated.
Thanks in advance

Akzeptierte Antwort

Marina Kiseleva
Marina Kiseleva am 4 Sep. 2018
Bearbeitet: Marina Kiseleva am 4 Sep. 2018
You can plot the marginal distribution of x or y separately, using whatever variance and mean corresponds to it (page 4 of this link ).
For you, I think x1 has a sigma^2 of 0.25, and a mean of 0, so you can plot it like:
x = -3:.2:3;
density = normpdf(x, 0, sqrt(0.25));
plot(x, density);

Weitere Antworten (0)

Kategorien

Mehr zu Graphics Performance finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by