pubs.aeaweb.org/doi/pdfplus/...
🏝️🍸
🏝️🍸
statmodeling.stat.columbia.edu/2026/11/10/s...
statmodeling.stat.columbia.edu/2026/11/10/s...
t.co/gIXDonDTo3
t.co/gIXDonDTo3
Very useful.
t.co/gIXDonDTo3
Very useful.
pubs.aeaweb.org/doi/pdfplus/...
pubs.aeaweb.org/doi/pdfplus/...
Whoa, incredible, no way the rest of us could've come up with that kind of trenchant commentary. It helps to be popular and hot? Huh. Wow.
Whoa, incredible, no way the rest of us could've come up with that kind of trenchant commentary. It helps to be popular and hot? Huh. Wow.
In Episode 168, @alex-andorra.bsky.social talks with Santiago Barreda about speech perception, vowel normalization, & Bayesian multilevel models for repeated-measures data.
🎧 learnbayesstats.com/episode/baye...
#bayesian #newepisode
In Episode 168, @alex-andorra.bsky.social talks with Santiago Barreda about speech perception, vowel normalization, & Bayesian multilevel models for repeated-measures data.
🎧 learnbayesstats.com/episode/baye...
#bayesian #newepisode
These Bayesian models are kind of clever in that they allow you to make predictions of future events with some probability. But you must update your model in light of new information. But Shor won‘t.
These Bayesian models are kind of clever in that they allow you to make predictions of future events with some probability. But you must update your model in light of new information. But Shor won‘t.