Eric Schares
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eschares.bsky.social
Eric Schares
@eschares.bsky.social
Collection Analysis Librarian, Iowa State University & Research Associate, #ScholCommLab. Views my own.
Data science, bibliometrics, python, Open Access, academic publishing, (applied) stats, causal inference, Learned League.
More at eschares.github.io
Wonder what she’d make of this.
November 25, 2025 at 2:38 PM
Thank you! I don’t totally understand this yet but I will work through the articles.
November 20, 2025 at 11:35 PM
Yes, that’s where I learned the term 5 minutes ago! 😅
November 20, 2025 at 11:35 PM
Ahh, I see the second link in particular deals with compositional data. Good recommendations
November 20, 2025 at 11:25 PM
Sounds like this is “compositional data”.
November 20, 2025 at 11:22 PM
Represents the entire administration. How long until that flag comes completely off?
November 19, 2025 at 12:57 PM
I say this with all the love I can, but I'm not sure it's actually possible to not feel left behind doing this as an 8-week course. There's too much.

I've been through 5-6 times by now and my goal is just to make it a bit farther each time. I can get to LKJ and Cholesky before I lose the plot now.
November 17, 2025 at 4:15 PM
Male wunderkinden at 47
November 10, 2025 at 2:16 PM
Relevant desk magnet (okay, maybe not that relevant...)
November 5, 2025 at 3:01 PM
I agree with a lot of this, that peer reviews should be visible and ADCs are bogus. But this is a long walk to essentially propose a submission fee.
October 24, 2025 at 1:59 PM