Preprint: doi.org/10.64898/202...
Code: github.com/szczurek-lab...
#MachineLearning #BayesianStats #MultiOmics #ComputationalBiology
Thanks to coauthors Hassan Akell, Malgorzata Lazecka, Dinesh Adhithya Haridoss, Miriam Urban, and Eike Staub!
🧮 @jmestret.bsky.social works on advanced Bayesian statistical modeling and tools for spatio-temporal and compositional data in marine science.
#PhDDay #MarineData #BayesianStats
Interested in Bayesian & AIC-type informative hypothesis evaluation? 📊
Join Rebecca Kuiper’s courses:
🔹 E-learning course:
utrechtsummerschool.nl/courses/data...
🔹 On-location course:
utrechtsummerschool.nl/courses/soci...
#BayesianStats #InformativeHypotheses #AIC #UtrechtSummerSchool
Bayesian deep learning helps ML models understand their uncertainty
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
Professional statistics LaTeX template for data analysis. Get hypothesis testing, Bayesian MCMC (μ, σ, ρ inference), Ridge/Lasso regression with live Python integration.
cocalc.com/share/public...
#StatisticsTemplate #DataAnalysis #BayesianStats
Overview: Hacker News discussed Andrew Gelman's 'Bayesian Data Analysis' – its impact, accessibility, and modern relevance. A deep dive into a foundational text for statisticians. #BayesianStats 1/6
7/9 But does the KBC void actually exist?
In May 2025, researchers used computer simulations and Bayesian statistics to create a complete picture of our local universe. Their exhaustive analysis found matches for known superclusters—but no sign of the void.
#Simulation #BayesianStats
Build powerful multilevel Bayesian models in R with brms.
Live course for ecologists, led by Dr. Niamh Mimnagh
Oct 20–24 & 27–31
Full details + registration:
prstats.org/course/bayesian-multilevel-modelling-using-brms-for-ecologists-bmme01
#BayesianStats #PhDLife #Rstats #Ecology #OpenScience
Market share predictions fail when models ignore how markets really work.
At #PyDataBerlin, @nathanielforde.bsky.social shows how PyMC Marketing’s new Consumer Choice module uses Bayesian models for realistic substitution.
🗓️ Sept 1, 4:20 PM | 📍 Room B05-B06
#BayesianStats #PyMC
Stop guessing priors—R2D2 puts you in control. I think R2D2 is a breakthrough for Bayes modeling. It automates shrinkage and variance allocation for clearer, less overfit models. Would you try this? Repost or comment! buff.ly/kcbOuG6 #bayesianstats #statmodeling
What’s going on inside your model? 🤔 Andrew Gelman will share new Bayesian tools for understanding fitted models, including sensitivity analysis, influence plots & more.
📍The NY Data Science & AI Conf, Aug 26–27 in NYC & online!
🎟️ Tix & info: dataconf.ai/nyc
#DataScience #BayesianStats #dataBS
I taught a workshop on Bayesian Multilevel Measurement Models in Stan with @lesa-hoffman.bsky.social at SMiP Summer School, Universität Mannheim 🇩🇪
We’ve made all the workshop materials available here:
jonathantemplin.github.io/MultilevelMe...
#BayesianStats #Stan #MultilevelModels #StatModeling
Extending empirical benchmarks of working memory to children: Insights from an adaptive learning environment
Abe Hofman, Han van der Maas, @doramatzke.bsky.social , Carolin Streitberger & @juliaha.bsky.social
📄 Paper: psycnet.apa.org/doiLanding?d...
🗂️ OSF: osf.io/preprints/os...
#BayesianStats
🥧 nutpie got a website now! pymc-devs.github.io/nutpie/
If you're doing Bayesian inference with PyMC or Stan, this might be worth checking out. Nutpie can sample PyMC and Stan model, and typically twice as fast.
#BayesianStats #PyMC #Stan
🎙️ Ep. 133 is out now!
@alex-andorra.bsky.social chats with @spinkney.bsky.social
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor — zero-sum constraints, Cholesky tricks, practical wins & more
🎧 learnbayesstats.com/episode/133-...
#Bayesianstats #podcast #LBS
Methodologically, we used Bayesian ex-Gaussian mixed models to separate effects on the centres vs. tails of reading time distributions, with empirically informed priors. This approach revealed nuances traditional analyses miss! Paper: www.sciencedirect.com/science/arti... #BayesianStats
📊 Bayesian Data Analysis
By Aki Vehtari — Course page + free ebook for the Bayesian Data Analysis course at Aalto University.
🔗 Course: buff.ly/2hKjB4x
📖 Book: buff.ly/Uf6EJl4
More R resources 👉 buff.ly/tTCN5MD
#BayesianStats #RStats 🚀
📚 Bayesian Hierarchical Models in Ecology
By Steve Midway — Ebook + course materials for learning Bayesian modeling in ecology.
🔗 buff.ly/bL4hN8P
More R resources 👉 buff.ly/tTCN5MD
#RStats #BayesianStats #Ecology 🚀
Bayes' Theorem updates beliefs with new evidence using prior probability, likelihood, and posterior probability. Learn its role in decision-making and modeling
https://www.statisticalaid.com/bayes-theorem/
#BayesianStats #DataScience
A huge thank you to Michael Franke and all participants of the 4th edition of our Bayesian Data Analysis in R course! 🎉 It was a fantastic week of learning and discussions. We hope you enjoyed it, and good luck with your projects! 🙌 #BayesianStats #Rstats
🚀 The 3rd edition of Bayesian Data Analysis in R is underway!
A great chance to learn Bayes from Prof. Michael Franke (Uni Tübingen) through hands-on exercises and real-world applications—building confidence in Bayesian regression models. 🔥📊 #BayesianStats #RStats
📊✨ Working with Country-Year Panel Data & Bayesian Multilevel Models ✨📊
Andrew Heiss provides a clear & practical guide on handling country-year panel data using Bayesian multilevel modeling.
🔗 Guide: https://buff.ly/3X1RdOR
#RStats #BayesianStats #DataScience 🚀
Always happy to host my dear friend @aloctavodia.bsky.social on my show! This time, we talk about #RegressionTrees, #PriorElicitation and how to teach #BayesianStats
The SBEDE model is released!
It is a statistical model for debiasing systematic biases in expert predictions and ignoring experts who have not proven their competence
#BayesianStats
The article includes a real data portfolio optimization application with stock analysts' target prices
rdcu.be/d3n69
Interesting statistics fact day 1:
Bayesian probability helps predict email spam!
It evaluates keywords and adjusts the likelihood based on past data. That’s how your inbox stays clean while learning your preferences over time.
Smarter emails, thanks to math!
#BayesianStats #MachineLearning #AI
Check it out if you're interested in learning how to apply these methods in your research.
#BayesianStats #CardiovascularTrials #ClinicalResearch
🚨🚨 New working paper 🚨🚨
"Rounding the (Non)Bayesian Curve: Unraveling the Effects of Rounding Errors in Belief Updating"
with Yaroslav Rosokha
a thread ...
papers.ssrn.com/sol3/papers....
#TeachBE #Beliefs #BayesianUpdating #BayesianStats #Rounding #Experiments
🌟 Dive into Markov Chain Monte Carlo (MCMC)! Join our workshop this week for an intro to MCMC algorithms. Learn to program a Metropolis MCMC for Bayesian simple linear regression in R. Don't miss out on mastering this powerful statistical tool! Link in the comment below! 📊 #MCMC #BayesianStats
Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171
#RStats #BayesianStats #TidyXExplained
