Getting back to the basics with this one! What even *is* #BayesianStats ??
Prepare to get your mind blown by Vaden Masrani...
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
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
Getting back to the basics with this one! What even *is* #BayesianStats ??
Prepare to get your mind blown by Vaden Masrani...
Prepare to get your mind blown by Vaden Masrani...
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...
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
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...
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...
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
📊 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 🚀
📊✨ 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 🚀
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
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
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
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
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
January 28, 2024 at 9:32 PM
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
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
🥧 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
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!
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
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!
Code: github.com/szczurek-lab...
#MachineLearning #BayesianStats #MultiOmics #ComputationalBiology
Thanks to coauthors Hassan Akell, Malgorzata Lazecka, Dinesh Adhithya Haridoss, Miriam Urban, and Eike Staub!
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
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
#ODSC2026 #PyMC #BayesianStats
April 27, 2026 at 4:20 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
#ODSC2026 #PyMC #BayesianStats
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
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
🎙️ 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
🚨🚨 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
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
📣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
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
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