I realized that neither numpy.random.multinomial nor rng.multinomial has the
ability to draw from different multinomial distributions at the same time
like what MATLAB mnrnd() does here:
https://www.mathworks.com/help/stats/mnrnd.html
Also, I have asked this question on StackOverFlow:
https://s
I wonder if there is an efficient way to draw multinomial random samples. For
univariate sampling, we can do that for different parameters and desired
shape, but neither of rng nor multinomial function in numpy.random is able
to achieve that. To be specific, can we draw multinomial samples for
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