#decisiontheory
Live, measured metrics for the hashtag #decisiontheory from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #decisiontheory
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 03:44 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 03:44 UTCNo related tags with measured usage found for #decisiontheory.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 03:44 UTCEverything below is measured over the latest 29 public posts (spanning ~55918 hours).
Posting hours (UTC) — busiest: 00:00
Languages: English (27)
Avg boosts / post: 1.9
Top of the latest posts
Question about #DecisionTheory and #Statistics — in elementary decision theory we usually call the basic possible ‘outcomes of nature’ ‘states of nature’. Eg ‘rain’ ‘no rain’ in deciding to take an umbrella. However in statistical decision
Here are 8 lectures (handwritten, sorry...) & 2 tuts on 'decision-making & modelling under uncertainty' for anyone interested...my first attempt on this particular topic this year. Looks at probability, utility, maximin utility/minimax regr
Ahhh I'm doing it, I'm finally doing it! Here's my #introduction + first toot: I'm an Assistant Professor and health economist at #UMass-Amherst. I apply #decisiontheory to #healthcare -- basically, I try to understand how physicians make d
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/decisiontheory