#байесовская_статистика

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

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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
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-23 03:30 UTC
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-08-23 03:30 UTC

No related tags with measured usage found for #байесовская_статистика.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-23 03:30 UTC

Everything below is measured over the latest 2 public posts (spanning ~2256 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (2)

Avg boosts / post: 0

Top of the latest posts

  • Одна Rust-библиотека вместо шести Python-пакетов — или как я перестала запускать фит и идти за кофе Кому будет полезно Если вы живёте в Python и одновременно используете statsmodels , lifelines , pyhf , PyMC/BlackJAX , linearmodels (или что

    Habr@[email protected]♥ 0↻ 02026-03-09 06:32 UTCView post →

  • Неопределённость как часть модели Привет, Хабр! Сегодня рассмотрим тему неопределённости в моделях . Классические ML-модели детерминированы: на вход получили – на выход выдали одно число или метку. Но жизнь полна неопределённости , и игнори

    Habr@[email protected]♥ 0↻ 02025-12-05 06:12 UTCView post →

#байесовская_статистика across platforms

every network with a public tag surface

Follow #байесовская_статистика 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/байесовская_статистика