matlab - fit gaussian distribution to empirical data -


i have 2 data vector (data1 in blue, data2 in red) representing sort of probabilities (they not probability, i.e. sum different 1). can see picture below data1 approximated gaussian distribution.

data2 should follow bivariate gaussian distribution (only peaks close start , end of blue line should considered, rest considered noise).

my question is: there way in matlab approximate blue , red line gaussian , bivaraite gaussian distribution? how?

i filter out ther first bump in data1 , first , 3rd bumps in data2. use approach instead of smoothing...

here can download data1 , data2 reproduce graph.

thanks

enter image description here


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