#bayesian
Live, measured metrics for the hashtag #bayesian from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bayesian
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:32 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 05:32 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:32 UTCEverything below is measured over the latest 40 public posts (spanning ~2926 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (39)
Avg boosts / post: 0.6
Top of the latest posts
RE: https://bayes.club/@modrak_m/116362631774641861 They're doing the Lord's work over there explaining how to do modeling to the masses (with #rstats examples) #Bayesian modeling wisdom even #AI and #ML people should understand.
I've published my first post in almost 10 years! It's about a seemingly strange quirk in #Bayesian logistic regression. In the post, I have some #brms examples (via #Rstats ) that show that the treatment effect for Arm B can be effected by
🤔 Can you perform a meta-analysis of a single study? 💡 Yes, you can -- this makes perfect sense if you want to derive a "meta-analytic-predictive (MAP) prior" based on a previous study. And it is in fact done implicitly in certain shrinka
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/bayesian