#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
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-15 02:00 UTC3 uses by 3 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-15 02:00 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-15 02:00 UTCEverything below is measured over the latest 40 public posts (spanning ~1998 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (35) · German (3) · Finnish (1)
Avg boosts / post: 0.8
Top of the latest posts
Meta-analyses may reveal effects not noticeable in individual studies, such as treatment-by-subgroup interactions (e.g. effects in males vs. females). To support Bayesian analysis, prior knowledge on interaction heterogeneity is crucial. @p
I recently discovered @betanalpha 's writing on the foundations of probability theory, and they're very very good: https://betanalpha.github.io/writing/ I understand all this algebra and analysis is too heavy for most undergrads. But it doe
📢 The working group "Bayes Methods" of the International Biometric Society's German Region (IBS-DR) is hosting a workshop on BAYESIAN STATISTICS IN MEDICAL RESEARCH including a tutorial on "Bayesian and Causal Networks in Medicine: Concept
What “bayesian” means
Wiktionary · WikipediaThomas Bayes was an English statistician, philosopher, and Presbyterian minister.
“List of things named after Thomas Bayes” on Wikipedia (CC BY-SA) →#bayesian across platforms
every network with a public tag surfaceFollow #bayesian straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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