I'm trying to fit a multivariate normal distribution to data that I collected, in order to take samples from it. I know how to fit a (univariate) normal distribution, using the <code>fitdist</code> function (with the <code>'Normal'</code> option). How can I do something similar for a multivariate normal distribution? Doesn't using <code>fitdist</code> on every dimension separately assumes the variables are uncorrelated?

How To Fit Multivariate Normal Distribution To Data In MATLAB?

I'm trying to fit a multivariate normal distribution to data that I collected, in order to take samples from it. I know how to fit a (univariate) normal distribution, using the fitdist function (with the 'Normal' option).

How can I do something similar for a multivariate normal distribution?

Doesn't using fitdist on every dimension separately assumes the variables are uncorrelated?

There isn't any need for a specialized fitting function; the maximum likelihood estimates for the mean and variance of the distribution are just the sample mean and sample variance. I.e., compute the sample mean and sample variance and you're done.