#BayesianStats
Getting back to the basics with this one! What even *is* #BayesianStats ??

Prepare to get your mind blown by Vaden Masrani...
🎙️ Bayesian epistemology is Bayesian statistics minus the statistics.

In ep 160 Vaden Masrani joins @alex-andorra.bsky.social to talk about why Bayes' theorem is great with real data, why it breaks down on one-off future events with nothing to count👇

🔗 lnkd.in/d3v42BU2

#bayesianstatistics
July 11, 2026 at 5:14 PM
Why do women outlive men by 12 years in some countries but only 2 in others? @allendowney.bsky.social breaks it down with Bayesian counterfactual modeling, live at @odsc.bsky.social East, April 30.

#ODSC2026 #PyMC #BayesianStats
April 27, 2026 at 4:20 PM
I taught my coding agent to think like a Bayesian, and wrote up what I learned.

LLMs know #BayesianStats but skip half the workflow. So I built an open-source Agent Skill that enforces the full workflow every time

Works with Claude Code, Cursor, Gemini, etc.
learnbayesstats.com/blog-posts/b...
I Taught My Coding Agent to Think Like a Bayesian
Teach your AI coding agent to think like a Bayesian. Discover the bayesian-workflow Agent Skill that prevents subtle statistical errors in PyMC models.
learnbayesstats.com
March 17, 2026 at 2:19 PM
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!
January 3, 2026 at 9:55 AM
🧮 @jmestret.bsky.social works on advanced Bayesian statistical modeling and tools for spatio-temporal and compositional data in marine science.

#PhDDay #MarineData #BayesianStats
December 16, 2025 at 4:04 PM
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) informative hypothesis evaluation (e-learning) | Utrecht Summer School
This e-learning course introduces informative hypotheses: a powerful alternative to traditional null and alternative hypotheses. With a strong emphasis on application rather than formulas, the course ...
utrechtsummerschool.nl
December 15, 2025 at 10:29 AM
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
November 1, 2025 at 4:14 PM
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
October 22, 2025 at 8:56 AM
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
September 29, 2025 at 7:00 PM
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
September 3, 2025 at 11:52 PM
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
Bayesian Multilevel Modelling using brms for Ecologists | PR Statistics
Bayesian Multilevel Modelling using brms for Ecologists (BMME01) is a 10-day online course designed for ecologists looking to apply Bayesian methods to complex hierarchical models in R. Using the brms...
prstats.org
August 28, 2025 at 11:50 AM
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
August 25, 2025 at 1:55 PM
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
Stop guessing at priors: R2D2's automated approach to Bayesian modeling
written by Eric J. Ma on 2025-08-06 | tags: bayesian variance r2d2 dirichlet multilevel glm regularization priors inference pymc
buff.ly
August 20, 2025 at 11:02 AM
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
August 6, 2025 at 8:53 PM
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
Multilevel Measurement Models Workshop (Summer 2025; SMiP Summer School) – Multilevel Measurement Models Workshop (Summer 2025)
jonathantemplin.github.io
July 22, 2025 at 3:49 PM
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
APA PsycNet
psycnet.apa.org
June 23, 2025 at 11:26 AM
🥧 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
Nutpie
pymc-devs.github.io
June 3, 2025 at 8:25 PM
🎙️ 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
Learning Bayesian Statistics – Laplace to be for new & veteran Bayesians alike!
Laplace to be for new & veteran Bayesians alike!
learnbayesstats.com
May 30, 2025 at 5:36 PM
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
Parafoveal preview benefits magnified
This study investigated the impact of word-initial letters and contextual predictability on eye movements during reading. In two experiments, we manip…
https://www.sciencedirect.com/science/article/pii/S0010027725000897#f0015#BayesianStats
April 30, 2025 at 4:25 PM
📊 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 Data Analysis course
January 28, 2025
buff.ly
March 21, 2025 at 4:05 PM
📚 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 🚀
Bayesian Hierarchical Models in Ecology
This is a book that is build on lectures from a course of the same name.
buff.ly
March 19, 2025 at 4:05 PM
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
Bayes' Theorem: A Cornerstone of Statistical Inference
Bayes' Theorem, often lauded as a fundamental pillar of statistical inference, offers a powerful framework for updating our beliefs about..
www.statisticalaid.com
March 19, 2025 at 9:46 AM
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
March 7, 2025 at 4:00 PM
🚀 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
March 3, 2025 at 4:23 PM