#likelihoods

Live, measured metrics for the hashtag #likelihoods from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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Own #likelihoods

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:05 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 11:05 UTC

No related tags with measured usage found for #likelihoods.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:05 UTC

Everything below is measured over the latest 4 public posts (spanning ~10308 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0.5

Top of the latest posts

  • 'Neural Bayes estimators for censored inference with peaks-over-threshold models', by Jordan Richards, Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser. http://jmlr.org/papers/v25/23-1134.html #censoring #likelihoods #models

    JMLR@[email protected]♥ 0↻ 12025-01-30 21:01 UTCView post →

  • 'Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC', by Marko Järvenpää, Jukka Corander. http://jmlr.org/papers/v25/21-0421.html #mcmc #bayesian #likelihoods

    JMLR@[email protected]♥ 0↻ 02025-01-08 21:02 UTCView post →

  • 'MAP- and MLE-Based Teaching', by Hans Ulrich Simon, Jan Arne Telle. http://jmlr.org/papers/v25/23-1086.html #likelihoods #priors #likelihood

    JMLR@[email protected]♥ 0↻ 12024-05-01 09:01 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/likelihoods