#statisticalinference
Live, measured metrics for the hashtag #statisticalinference from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #statisticalinference
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 15:14 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 2026-07-28 15:14 UTCNo related tags with measured usage found for #statisticalinference.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 15:14 UTCEverything below is measured over the latest 3 public posts (spanning ~26642 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 2.3
Top of the latest posts
#Introduction I'm a scientist with a background in #gravity #theory #physics and #astronomy whose interests have drifted in the direction of #statistics. I'm a Professor of Statisitcs at #RIT and a member of the #LIGO scientific collaborati
this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). un
Measuring the Unmeasurable? Systematic Evidence on Scale Transformations in Subjective #SurveyData https://d.repec.org/n?u=RePEc:iza:izadps:dp18029&r=&r=hap "The relationship between the ‘cost’ of deviating from #linearity and the risk of s
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/statisticalinference