I need to make plots that visualize a known probability distribution on [0,1]^2. Specifically, when

then

x = \text{logistic}(z_1) and y = \text{logistic}(z_2), which defines a pdf p(x, y \mid \mu, \Sigma) on [0,1]^2.

I could just draw `z`

and transform, then use `contour`

from `Plots.jl`

.

But I thought that since I have p in closed form, I could just use that directly, but I don’t know where to start. Is there an example or a recommended workflow somewhere? BTW, if that matters, the ultimate target backend is `pgfplots()`

.