iiinova — where your digital self keeps evolving

Felipe Fontana Vieira @felipefv.bsky.social · 30/06/2026

Finally had the time to revisit @djnavarro.net's blog post about MASS and try stuff on my own. Across Linux/macOS/Windows on CI, I got the same difference. The (unexpected imo) thing: macOS and Windows had the same LAPACK version and still disagreed, which I guess means the issue is further down...

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Felipe Fontana Vieira @felipefv.bsky.social · 21/05/2026

That completely unnecessary diversion from your work, but I finally decided to figure out why I was getting these bowties/butterflies. Most of that is needed for the shape, but it was the only way to explain why the center is darker

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Felipe Fontana Vieira @felipefv.bsky.social · 22/03/2026

Back in Brasil after 3 years, the feeling: Living abroad is good, but it sucks. Living in Brasil sucks, but it's good.

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Felipe Fontana Vieira @felipefv.bsky.social · 12/03/2026

I wonder what created that 0.0001 difference

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Felipe Fontana Vieira @felipefv.bsky.social · 19/02/2026

Peak creativity moment of my life that I currently cannot achieve: I need the silhouette of a baseball player that won't get me in trouble due to copy-rights. Any ideas?

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Felipe Fontana Vieira @felipefv.bsky.social · 19/04/2025

Consider this one next time instead of the airplane:

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Felipe Fontana Vieira @felipefv.bsky.social · 30/11/2024

From my understanding, the idea behind this distinction is based on the fact that the mathematical structure behind DAGs is “not able” to express causality. For example, the three DAGs in the attached image have the same restrictions on the observed data: (2/3)

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Felipe Fontana Vieira @felipefv.bsky.social · 30/11/2024

From the many sources on DAGs, I can only recall Hernán & Robins (What If?) - attached image - and Pearl (Causality) distinguishing between DAGs and *causal* DAGs. I guess I won’t say much about what Pearl wrote because, at the end of the day, I just ended up more confused. (1/3)

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Felipe Fontana Vieira @felipefv.bsky.social · 13/11/2024

The psychometrics (SEM) literature has 2 issues I dislike a lot: (i) assumptions not clearly stated and (ii) absence of proofs when very much needed (in my opinion). As an example of the former (in its simplest form possible), we have the beginning of the third chapter in Bartholomew et al. (2011):

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Felipe Fontana Vieira @felipefv.bsky.social · 24/09/2024

Sharing a PhD position from my department:

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Felipe Fontana Vieira @felipefv.bsky.social · 06/03/2024

Things that make me genuinely happy: wake up to a sunny day in Gent and go to class in which Stijn basically taught the content of his article

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