#nonparametric
Live, measured metrics for the hashtag #nonparametric from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nonparametric
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.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-26 18:57 UTC0 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 2026-09-26 18:57 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-26 18:57 UTCEverything below is measured over the latest 32 public posts (spanning ~23060 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (32)
Avg boosts / post: 0.3
Top of the latest posts
Hello everyone out there in the fediverse! I'm currently a Academy of Finland postdoctoral fellow at Aalto University working on probabilistic #machinelearning. Most of my interests are related to probabilistic #machinelearning methods that
'Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test', by Seunghoon Paik, Michael Celentano, Alden Green, Ryan J. Tibshirani. http://jmlr.org/papers/v26/24-0245.html #nonparametric #distributions #kolmogorov
'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim. http://jmlr.org/papers/v26/24-0048.html #causal #nonparametric #observational
What “nonparametric” means
WikipediaNonparametric statistics is a type of statistical analysis that makes minimal assumptions about the underlying distribution of the data being studied. Often these models are infinite-dimensional, rather than finite dimensional, as in parametric statistics. Nonparametric statistics can be used for descriptive statistics or statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are evidently violated.
“Nonparametric statistics” on Wikipedia (CC BY-SA) →#nonparametric across platforms
every network with a public tag surfaceFollow #nonparametric 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/nonparametric