#autocovariance

Live, measured metrics for the hashtag #autocovariance 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 #autocovariance

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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-01 00:26 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

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 2026-08-01 00:26 UTC

No related tags with measured usage found for #autocovariance.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 00:26 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: English (1)

Avg boosts / post: 0

Top of the latest posts

  • 'Random ReLU Neural Networks as Non-Gaussian Processes', by Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser. http://jmlr.org/papers/v26/24-0737.html #stochastic #autocovariance #gaussian

    JMLR@[email protected]002025-02-20 09:01 UTCView post →

What “autocovariance” means

Wikipedia

In probability theory and statistics, given a stochastic process, the autocovariance is a function that gives the covariance of the process with itself at pairs of time points. Autocovariance is closely related to the autocorrelation of the process in question.

Autocovariance” on Wikipedia (CC BY-SA) →

#autocovariance across platforms

every network with a public tag surface

Follow #autocovariance 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/autocovariance