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
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
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
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
cocalc.com/share/public...
#StatisticsTemplate #DataAnalysis #BayesianStats
October 22, 2025 at 8:56 AM
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
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
September 29, 2025 at 7:00 PM
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
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
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
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
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
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
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
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
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
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
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
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
📍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
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
📍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
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
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
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
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
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
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
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
🥧 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
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
@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
🎙️ 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
@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
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
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 🚀
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 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 🚀
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 🚀
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
📚 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 🚀
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
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
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
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
March 7, 2025 at 4:00 PM
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
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
🚀 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
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 🚀
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 🚀
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.
buff.ly
February 25, 2025 at 2:39 AM
📊✨ 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 🚀
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
💯What if Bayesian modelling could be faster, more flexible, and easier to interpret?
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
January 11, 2025 at 10:48 PM
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
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
A Bayesian model for portfolio decisions based on debiased and regularized expert predictions
rdcu.be
December 18, 2024 at 12:58 PM
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
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
📣Open position at Uppsala University: PhD student in Machine Learning with a focus on probabilistic models in microbial and cellular ecology. 5 years’ salary. Apply before December 31, 2024. Read more here: jobb.uu.se/details/?pos... (🧵1/6)
December 11, 2024 at 12:10 PM
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
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
December 10, 2024 at 2:48 PM
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
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
#BayesianStats #CardiovascularTrials #ClinicalResearch
Redirecting
doi.org
November 23, 2024 at 2:36 PM
Check it out if you're interested in learning how to apply these methods in your research.
#BayesianStats #CardiovascularTrials #ClinicalResearch
#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
"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
November 8, 2024 at 2:17 PM
🚨🚨 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
"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