#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.

hashtag.org network · sponsored

Own #statisticalinference

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.

$5.00/ year · 20-character #name
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
5.7
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 15:14 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 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 UTC

No related tags with measured usage found for #statisticalinference.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 15:14 UTC

Everything below is measured over the latest 3 public posts (spanning ~26642 hours).

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

    Dr. John T. Whelan@[email protected]1772023-01-02 04:50 UTCView post →
  • 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

    katch wreck@[email protected]002026-01-16 06:24 UTCView post →
  • 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

    Dennis Alexis Valin Dittrich@[email protected]002025-09-24 13:46 UTCView post →

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