I would be willing to go through GSOC again. I think that the
statistics component could again serve as a project. There are some
packages in Math that could be moved to make use of the updated
distributions (e.g. math.stat.inference) or perhaps a reworking of the
math.stat.descriptive package to support using them with streams.

In the last iteration (GSOC 2020) we failed to get enough of a picture
of the competence of candidates in the 'bonding phase' before places
were formally allocated. I think we should require that a candidate
can:

- Open a PR on GitHub to add a feature in the topic area. It should be
of non-trivial complexity and delivered to a quality ready to merge.
- Show knowledge of the topic area beyond this single feature,
demonstrating ability to continue to significantly contribute through
a 3 month period in the subject area.

Without this set of skills there will be little progress in the formal
code period.

Alex

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