#bayesianmethods
Live, measured metrics for the hashtag #bayesianmethods from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bayesianmethods
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 17:56 UTC0 uses by 0 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 2026-07-29 17:56 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 17:56 UTCEverything below is measured over the latest 2 public posts (spanning ~8051 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 1
Top of the latest posts
Embracing Bayesian methods in clinical trials https://jamanetwork.com/journals/jama/fullarticle/2847011 #HackerNews #Embracing #Bayesian #methods #in #clinical #trials #BayesianMethods #ClinicalTrials #DataScience #HealthResearch #JAMA
Does anyone have a good starting point for Bayesian ranking of text-based content? Application in mind is placing of news articles on a page-based layout, and I'd like something more sofistikated than LIFO or manual text-based grading. Ulti
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/bayesianmethods