Add gufunc signature to `RandomVariable`\'s docstrings

Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

Add gufunc signature to `RandomVariable`\'s docstrings
a619a4ec · Rémi Louf · Brandon T. Willard · 62326376 · a619a4ec · a619a4ec
--- a/aesara/tensor/random/basic.py
+++ b/aesara/tensor/random/basic.py
--- a/doc/library/tensor/random/basic.rst
+++ b/doc/library/tensor/random/basic.rst
@@ -47,7 +47,7 @@ Reference
 Distributions
 ==============
-Aesara can produce :class:`RandomVariable`\s that draw samples from many different statistical distributions, using the following :class:`Op`\s.
+Aesara can produce :class:`RandomVariable`\s that draw samples from many different statistical distributions, using the following :class:`Op`\s. The :class:`RandomVariable`\s behave similarly to NumPy's *Generalized Universal Functions* (or `gunfunc`): it supports "core" random variable :class:`Op`\s that map distinctly shaped inputs to potentially non-scalar outputs. We document this behavior in the following with `gufunc`-like signatures.
 .. autoclass:: aesara.tensor.random.basic.UniformRV
   :members: __call__