Hello! I am an engineering student currently learning bayesian stats. I want to model a time series of proportions (values between 0 and 1), using the Gaussian process.

I find that there seems to be 2 (inverse) link functions that I can use:

`pm.math.sigmoid()`

`pm.math.invlogit()`

I tried both and there are tiny differences in the posterior. Speed-wise, almost the same. (I only have 60 data points.)

My question is, which of these is preferable? Thanks!