#inla
Live, measured metrics for the hashtag #inla from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #inla
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 21:48 UTC0 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 21:48 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 21:48 UTCEverything below is measured over the latest 6 public posts (spanning ~11833 hours).
Posting hours (UTC)
Languages: English (5) · Spanish (1)
Avg boosts / post: 1.8
Top of the latest posts
"Past, Present and Future of Software for Bayesian Inference" by Štrumbelj et al. (2024). Statistical Science. https://doi.org/10.1214/23-STS907 #rstats #Python #JuliaLanguage #mcmc_stan #INLA #MCMC #BUGS #blackjax #JAGS #HMC #Matlab #Mathe
This isn't quite accidental aRt (not weird/mistaken enough: has anyone set up an analogue for https://accidental-art.tumblr.com/ yet? Can't find either of those moderators on Mastodon ...) but I thought it was pretty; one of my first forays
Interested in modeling spatial and spatio-temporal data with #rstats and #INLA? I will be teaching this on-line course next year (29 Jan - 2 Feb 2024). 👇 https://www.prstatistics.com/course/spatial-and-spatial-temporal-modelling-using-r-in
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/inla