On Thu, Oct 29, 2020 at 5:19 PM Currurant <currurant@gmail.com> wrote:

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 different probabilities and different n?

I asked the question on Stackoverflow here:

https://stackoverflow.com/questions/64529620/is-there-an-efficient-way-to-ge... .

Seems like there isn't a function to do that.

We call this feature "broadcasting". This is currently being worked on for multinomial and the other multivariate distributions: https://github.com/numpy/numpy/issues/17669 https://github.com/numpy/numpy/pull/16740 -- Robert Kern

On Thu, Oct 29, 2020 at 5:19 PM Currurant <currurant@gmail.com> wrote:

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 different probabilities and different n?

I asked the question on Stackoverflow here:

https://stackoverflow.com/questions/64529620/is-there-an-efficient-way-to-ge... .

Seems like there isn't a function to do that.

We call this feature "broadcasting". This is currently being worked on for multinomial and the other multivariate distributions: https://github.com/numpy/numpy/issues/17669 https://github.com/numpy/numpy/pull/16740 -- Robert Kern