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Posts tagged #bayesianstats

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!

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๐Ÿงฎ @jmestret.bsky.social works on advanced Bayesian statistical modeling and tools for spatio-temporal and compositional data in marine science.

#PhDDay #MarineData #BayesianStats

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(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 ...

Interested in Bayesian & AIC-type informative hypothesis evaluation? ๐Ÿ“Š
Join Rebecca Kuiperโ€™s courses:

๐Ÿ”น E-learning course:
utrechtsummerschool.nl/courses/data...

๐Ÿ”น On-location course:
utrechtsummerschool.nl/courses/soci...

#BayesianStats #InformativeHypotheses #AIC #UtrechtSummerSchool

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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

๐ŸŽง learnbayesstats.com/episode/144-...

#BayesianStats #AI #ML #Bayes

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Professional statistics LaTeX template for data analysis. Get hypothesis testing, Bayesian MCMC (ฮผ, ฯƒ, ฯ inference), Ridge/Lasso regression with live Python integration.

cocalc.com/share/public...

#StatisticsTemplate #DataAnalysis #BayesianStats

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Overview: Hacker News discussed Andrew Gelman's 'Bayesian Data Analysis' โ€“ its impact, accessibility, and modern relevance. A deep dive into a foundational text for statisticians. #BayesianStats 1/6

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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 superclustersโ€”but no sign of the void.
#Simulation #BayesianStats

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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...

Build powerful multilevel Bayesian models in R with brms.

Live course for ecologists, led by Dr. Niamh Mimnagh

Oct 20โ€“24 & 27โ€“31

Full details + registration:
prstats.org/course/bayesian-multilevel-modelling-using-brms-for-ecologists-bmme01

#BayesianStats #PhDLife #Rstats #Ecology #OpenScience

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Market share predictions fail when models ignore how markets really work.

At #PyDataBerlin, @nathanielforde.bsky.social shows how PyMC Marketingโ€™s new Consumer Choice module uses Bayesian models for realistic substitution.

๐Ÿ—“๏ธ Sept 1, 4:20 PM | ๐Ÿ“ Room B05-B06
#BayesianStats #PyMC

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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

Stop guessing priorsโ€”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

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Whatโ€™s going on inside your model? ๐Ÿค” Andrew Gelman will share new Bayesian tools for understanding fitted models, including sensitivity analysis, influence plots & more.

๐Ÿ“The NY Data Science & AI Conf, Aug 26โ€“27 in NYC & online!

๐ŸŽŸ๏ธ Tix & info: dataconf.ai/nyc

#DataScience #BayesianStats #dataBS

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Multilevel Measurement Models Workshop (Summer 2025; SMiP Summer School) โ€“ Multilevel Measurement Models Workshop (Summer 2025)

I taught a workshop on Bayesian Multilevel Measurement Models in Stan with @lesa-hoffman.bsky.social at SMiP Summer School, Universitรคt Mannheim ๐Ÿ‡ฉ๐Ÿ‡ช

Weโ€™ve made all the workshop materials available here:
jonathantemplin.github.io/MultilevelMe...

#BayesianStats #Stan #MultilevelModels #StatModeling

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APA PsycNet

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

๐Ÿ“„ Paper: psycnet.apa.org/doiLanding?d...
๐Ÿ—‚๏ธ OSF: osf.io/preprints/os...

#BayesianStats

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Nutpie

๐Ÿฅง 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

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Learning Bayesian Statistics โ€“ Laplace to be for new & veteran Bayesians alike! Laplace to be for new & veteran Bayesians alike!

๐ŸŽ™๏ธ Ep. 133 is out now!

@alex-andorra.bsky.social chats with โ€ช @spinkney.bsky.social
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor โ€” zero-sum constraints, Cholesky tricks, practical wins & more

๐ŸŽง learnbayesstats.com/episode/133-...

#Bayesianstats #podcast #LBS

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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 manipโ€ฆ

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

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Bayesian Data Analysis course January 28, 2025

๐Ÿ“Š Bayesian Data Analysis

By Aki Vehtari โ€” Course page + free ebook for the Bayesian Data Analysis course at Aalto University.

๐Ÿ”— Course: buff.ly/2hKjB4x
๐Ÿ“– Book: buff.ly/Uf6EJl4

More R resources ๐Ÿ‘‰ buff.ly/tTCN5MD

#BayesianStats #RStats ๐Ÿš€

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Bayesian Hierarchical Models in Ecology This is a book that is build on lectures from a course of the same name.

๐Ÿ“š Bayesian Hierarchical Models in Ecology

By Steve Midway โ€” Ebook + course materials for learning Bayesian modeling in ecology.

๐Ÿ”— buff.ly/bL4hN8P

More R resources ๐Ÿ‘‰ buff.ly/tTCN5MD

#RStats #BayesianStats #Ecology ๐Ÿš€

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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..

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

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A huge thank you to Michael Franke and all participants of the 4th edition of our Bayesian Data Analysis in R course! ๐ŸŽ‰ It was a fantastic week of learning and discussions. We hope you enjoyed it, and good luck with your projects! ๐Ÿ™Œ #BayesianStats #Rstats

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๐Ÿš€ The 3rd edition of Bayesian Data Analysis in R is underway!

A great chance to learn Bayes from Prof. Michael Franke (Uni Tรผbingen) through hands-on exercises and real-world applicationsโ€”building confidence in Bayesian regression models. ๐Ÿ”ฅ๐Ÿ“Š #BayesianStats #RStats

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A guide to working with country-year panel data and Bayesian multilevel models | Andrew Heiss How to use multilevel models with R and brms to work with country-year panel data.

๐Ÿ“Šโœจ Working with Country-Year Panel Data & Bayesian Multilevel Models โœจ๐Ÿ“Š

Andrew Heiss provides a clear & practical guide on handling country-year panel data using Bayesian multilevel modeling.

๐Ÿ”— Guide: https://buff.ly/3X1RdOR

#RStats #BayesianStats #DataScience ๐Ÿš€

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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

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A Bayesian model for portfolio decisions based on debiased and regularized expert predictions

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

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Open PhD position in Uppsala!
#MathOnco #EcoEvo #BayesianStats

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Interesting statistics fact day 1:

Bayesian probability helps predict email spam!
It evaluates keywords and adjusts the likelihood based on past data. Thatโ€™s how your inbox stays clean while learning your preferences over time.
Smarter emails, thanks to math!
#BayesianStats #MachineLearning #AI

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Redirecting

Check it out if you're interested in learning how to apply these methods in your research.
#BayesianStats #CardiovascularTrials #ClinicalResearch

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๐Ÿšจ๐Ÿšจ New working paper ๐Ÿšจ๐Ÿšจ

"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

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๐ŸŒŸ 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! ๐Ÿ“Š #MCMC #BayesianStats

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Bae in the fast lane: Master Bayes Regression in just 20 minutes! ๐Ÿš—๐Ÿ“Š

Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight ๐Ÿ›ฃ๏ธ

Bit.ly/TidyX_Ep171

#RStats #BayesianStats #TidyXExplained

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