probability density from 2D Gaussian fitting

I have fitted a 2D Gaussian to a surface using the Lsqcurvefit. I need to get the probability density of the fit so I can compute the log-likelihood of the Gaussian model. The Matlab fitdist function seems to do this for vectors, but can it be used for getting the PD of a fitted surface and the matrix with the real values to be fitted? Are there other ways of getting the log-likelihood of the model?

Thanks for any help!

Answer 1

[Vishal Bhutani]

Based on my understanding you want to obtain the probabiliy distribution for the 2D data. The link attached below might help you:

https://www.mathworks.com/matlabcentral/answers/13903-plot-probability-density-function-of-2d-data

[OH]

Thanks, but the question is not answered in the link. I want to obtain the pdf of the fitted Gaussian given the matrix with the raw data.