#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 · fosstodon.org (Mastodon public tags API) · fetched 2026-10-30 23:01 UTC3 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 2026-10-30 23:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-30 23:01 UTCEverything below is measured over the latest 40 public posts (spanning ~2547 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (35) · German (3) · Finnish (1)
Avg boosts / post: 0.5
Top of the latest posts
On my way home after a fantastic week at the Tenth Summer School on Statistical Methods for Linguistics and Psychology in Potsdam (https://vasishth.github.io/smlp2026/) sandwiched between two days in Berlin. I spend time with dear friends f
In this special episode of Learning Bayesian Statistics, Alex Andorra is joined by Andrew Gelman, Aki Vehtari, and Richard McElreath to discuss Bayesian Workflow. From simulation and hierarchical pooling to causal inference, there’s a lot t
#statstab #627 Generalized Additive Latent and Mixed Models {galamm} Thoughts: Complex ideas require complex (but appropriate) modelling strategies. #glmm #gam #r #rstats #lavaan #stan #latent #bayesian #bayes https://docs.ropensci.org/gala
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