Top Tweets for #BayesStats
💡More protein, better recovery? Not so fast. In the PRECISe trial, higher protein (2.0 g/kg/day) worsened HRQoL vs standard. Our new analysis dives deeper into the data to guide ICU care. Stats matter—so does interpretation. #CriticalCare #ICU #BayesStats
🚀 our new publication alert: Despite worse quality of life with high-protein as part of ICU nutrition shown in the frequentist analysis, this nuanced look helps interpret key clinical outcomes. #ICU #nutrition #BayesianAnalysis
https://t.co/i615vS2VKi
📊 Bayesian Data Analysis in R 📊
📅 3–7 March 2025 (ONLINE)
👤 Instructor: @meanwhileina
Gain hands-on experience with Bayesian models and boost your skills with practical examples!
🔗https://t.co/4ZMYP6l1yZ
#BayesianData #Rstats #DataScience #BayesStats

See U this Wednesday at 4pm UTC to learn about Out-Of-Model #Predictions with @pymc_devs, with @RicardoV944, a fellow @pymc_labs modeler 😉
Ricardo will go through all you can do with posterior predictive samples in #BayesStats
Sign up in the comments🖖
https://t.co/o5uM8D6ZkV
Ch1 of @rlmcelreath's Stats Rethinking shows how statistical models do not imply unique process models & hypothesis. Is there a version of this in the context of Economic models? Maybe one for @economeager :) #econtwitter #bayesstats

@jrosenberg6432 wrote a very nice blog post about how our new paper with @EJWagenmakers and @MineDogucu „Making Sense of Uncertainty in the Science Classroom“ came together: https://t.co/262JBG9xhE #Bayes #BayesStats #scienceeducation
𝐁𝐚𝐲𝐞𝐬 𝐅𝐚𝐜𝐭𝐨𝐫𝐬 have become a popular alternative to #frequentist p-values - but what do they actually mean?
There are 2 interpretations according to @EJWagenmakers.
Listen to ep 61 of the #podcast to learn more!
#BayesStats #sciencetwitter
Had the chance to give a talk at @unccharlotte last week!
* Opportunities of #BayesStats in practice
* My journey to #OpenSource
* How we developed find_constrained_priors @pymc_labs
* Ways YOU can join communities like @pymc_devs
Slides & video here: https://t.co/qT8UlaXA7e
New from the @Stata Blog: Comparing transmissibility of Omicron lineages.
Written by Nikolay Balov, this blog highlights how #Stata users can perform multilevel analysis of multivariate count data using the #bayesmh and #bayesstats summary commands.
https://t.co/j1x1jhTbAk

Had a blast going on @remilouf's podcast!
We talked about how I fell into #BayesStats, how open-source can change your life, why forecasting elections -- and much more, because Rémi is very talkative...
Hope you'll enjoy this one! And subscribe to Rémi's *excellent* podcast 😉
#2021 was great for 'Learn Bayes Stats' on #YouTube
>7,000 of you listened to the podcast for 43,000 mins - almost 1 month of #BayesStats in your ears 😮
Most popular episode? Regression & Other Stories w. @StatModeling @avehtari & J. Hill
https://t.co/VGFH43NSjb
@YTCreateurs
Ep. 51 of LBS is out 🥳
@aubreyclayton on:
* His book, 'Bernoulli's Fallacy'
* Statistical Illogic & Crisis of Science
* Where we go from there
* E.T. Jayne’s influence on #BayesStats
* Aubrey’s learning path
See U on your favorite podcatcher or @ https://t.co/wssUFV3rbE
#MatchmakingDinner #4 is out 🥳
@jazzystats & @paulbuerkner on:
* #BRMS future
* #BayesStats' next big challenges
* Advice for new #R package devs
* Calibrating uncertainty
* Computation speed
* Survey weights
Check out https://t.co/sIHAge9daC to unlock this member-only content🖖
Came across this post recommending LBS to learn #BayesStats 😍 Heartwarming!
"I strongly advise that you check out Learning Bayesian Statistics, interviewing professionals from a wide variety of fields, with incredibly diverse backgrounds and experiences"
https://t.co/tnF27Qsk8d
the various hierarchical modeling books unified website is here: https://t.co/6M5VPJ5puu
Includes Kery & Royle v1 and v2, Kery & Schaub, SCR book, etc. and some other useful links
Took a while to edit, but worth it: ep. 32 of LBS is out 🥳
Getting involved into #BayesStats & #OpenSourceDev, w. @Springcoil
Also:
* How companies use Bayes
* Common struggles when doing so
* AI voice development
See U in your favorite podcatcher or at https://t.co/qa8yeEyTjw
Day 3 #NeuromatchAcademy TA done.
Incredibly satisfying to 👨💻 with 8 bright, energetic students👌 blending their backgrounds for collaborative modelling: #Electrophysiology #Neuroscience #Maths #Physics #Computerscience #ML #Networks #BayesStats #DataScience #CogSci
@neuromatch
Today we will see if we have a consistent Sunday effect in the evolution of #COVID19 cases in #Portugal. Today's estimates:
Asymptotic maximum: 13631.5 (13185.6-14094.3)
Today: 11989.2 (11606.6-12361.6)
#COVIDー19 #COVID19PT #BayesStats

Let's hope that today we don't surpass too much the 12k of #COVID19 cases in #Portugal (11474.7-12303.9). I'm starting to wonder if build my models in my image, over-optimistic!
#Covid_19 #COVID19PT #BayesStats

Today predictions:
Asymptotic maximum: 12721.8 CI95: 12087.6-13434.0
Maximum infection rate day: 28.6 CI95: 28.1-29.0
Growth parameter: 0.262 CI95: 0.252-0.272
# of cases for today: 10244.1 CI95:9893.3-10590.4
#COVIDー19 #CODVID19 #COVID19PT #Portugal #BayesStats

According to my logistic growth model, for a #plateau of about 11k cases of #Covid19 in #Portugal (1117.7 CI95% 10278.5-12105.6), today we should expect around 8k cases (7976.3 CI95% 7679.5-8282.4). Let's hope, wait, and see 😅🤞!!
#COVIDー19 #COVID19PT #BayesStats

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