Diffusion models & flow matching are reshaping simulation-based inference. Thus, we wrote the first tutorial review on diffusion-based SBI. For an overview or a deep dive, check it out and let us know what you think: arXiv: arxiv.org/abs/2512.20685 Web: bayesflow-org.github.io/diffusion-ex...

My #AdvancedRegressionModeling course, written with the brilliant Ravin Kumar and @tomicapretto.bsky.social, is now available through my Topmate profile! So do give it a try and let me know what you think in the comments 👇 See you soon in the Intuitive Bayes' Discourse 🖖 topmate.io/alex_andorra...

I don't code anymore—I build. AI lets me ship projects by describing what I want, not how to do it. In 10 days, I shipped 6 projects with OpenCode + Claude Opus 4.5. The gap between idea and product is tiny now. Would you try this? Repost or comment! buff.ly/blroW24 #ai #buildfast

This one is a foundational one: #ExperimentalTrialDesign the ̶r̶i̶g̶h̶t̶ Bayesian way, with no other than Scott Berry, from Berry Consultants, LLC! Enjoy, and happy new year, my dear Bayesians 🖖

Very practical episode this week: What to do when you can't use MCMC but still want #BayesPerks? Well, Deterministic ADVI is the new kid on the block, and is a pretty cool one ;) #WhoisyourDADVInow

🎙️ How do you tackle extreme physics experiments? Ethan Smith shares insights with @alex-andorra.bsky.social ✅ Bayesian inference for sparse, noisy data ✅ Priors guide well-established physical models ✅ Scaling Bayesian workflows across teams 🎧 lnkd.in/geA2kQm6 #Bayesian #LearningBayesianStats

Time to take stock of what is going on in the #TechIndustry, how #GenAI is changing the jobs, and how to integrate it in your career. Here is a super dense, and hopefully actionable, episode with the great Jordan Thibodeau -- make sure to give his SVIC Podcast a listen!

This one is a very practical one, with the great Maurizio Filippone -- all about the intersection of #DeepLearning , #GaussianProcesses and why combining them is so powerful. Enjoy!

🍽️ Can better nutrition science come from better statistics? In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable 🎧 learnbayesstats.com/episode/143-... #bayes #nutrition

How to run #BART and #TreeModels fast in #Python -- new episode is out, with @gstechschulte.bsky.social !

🏈 NFL meets Bayesian stats! In this episode @alex-andorra.bsky.social chats with Ron Yurko on 👉 Writing your own models 👉 Building a sports analytics portfolio 👉 Pitfalls of modelling expectations 👉 Using tracking data for player insights 👉 Causal thinking in football data 🎧 lnkd.in/gWz4v2JG

Really enjoyed talking to @alex-andorra.bsky.social on @learnbayesstats.bsky.social! I've always enjoyed listening to this podcast and encourage you to check out all of the awesome episodes Alex has recorded: learnbayesstats.com #statistics #Bayesian #datascience #sportsanalytics

Really recommend this one, about how to blend #CausalInference and #DeepLearning in practice, with ChiRho and Pyro!

This was a super fun one, geeking out on LLMs, deep neural nets and optimization with Maximilian Balandat, from Meta

Live episode from @imperialcollegeldn.bsky.social is out! All about #BayesianDeepLearning

🚨 MCMC or INLA? 🤯 MCMC = slow sampling. ⚡ INLA = fast, smart approximations. No chains, no waiting. 🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer. 🎧 Listen: lnkd.in/gp8D-RuU #Bayesian #MCMC

New episode is out! A really fascinating one with Robert Ness, about his new #CausalAI book, which actually kickstarted a whole new learning path for me Robert and I are actually working on an educational project you're gonna love... Follow @learnbayesstats.bsky.social for the upcoming announcement!

New episode is out, about how to scale #BayesianInference to #BigData and #BigModels!

Came across this 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 using the 𝗛𝗼𝗿𝘀𝗲𝘀𝗵𝗼𝗲 𝗣𝗿𝗶𝗼𝗿 — a powerful Bayesian tool for #SparseRegression — via the @pymc.io & Bambi ecosystem, so wanted to share it with you folks! A big thanks to @aloctavodia.bsky.social & @tomicapretto.bsky.social for their great and continued work on this 🙏

Really looking forward to teaching a new PyMC tutorial, with the great Jesse Grabowski at PyData Berlin! We'll teach how to do #StateSpaceModeling with @pymc.io -- and developing some new features just for this 😉 Come say hi if you're in Berlin September 1-3! berlin.pydata.org/conferences/...

New episode is out! A very practical one, where we dive into *how* to make sure your models *actually* answer the questions you're asking...

ICYMI, I'll be in London next week, for a #LiveEpisode of the @learnbayesstats.bsky.social 🍾 Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification. 🎟️ www.eventbrite.co.uk/e/machine-le...

🎲 Bayesian Nerds Assemble! 🎲 Live panel on "Machine Learning & Uncertainty" at Imperial College London, June 24. I'm hosting, joined by Mélodie Monod, Yingzhen Li, and FX Briol. Probability you'll have fun: extremely high! Sign up before uncertainty sets in: www.eventbrite.co.uk/e/machine-le...

New episode is out! We covered some of the most practical and under-discussed tools in #Bayesian econometrics: 🔷 #DynamicRegression 🔷 #StateSpaceModels 🔷 Predictively consistent priors 🔷 Bayesian R² 🔷 Whether AI could help us elicit better priors

New episode is out! In this one we nerd out quite deep on zero-sum constraints, and how to make your model sample faster 💨

New episode is out, where dive into how human brains work, and how this compares to #ArtificialIntelligence

New episode is out, where we dive into how to actually make tough decisions once you have built, fit, and validated your Bayesian models 🤔

🚨 LIVE SHOW ALERT 🚨 If you're a Patron, join us tomorrow April 24, 11:00am, US Eastern Time, with David Kohns, co-author of "The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions" 🥳 👉 Patreon: www.patreon.com/c/learnbayes... 👉 YouTube: www.youtube.com/@learningbay...

New episode just dropped! All about #EpidemiologicalModeling, #ScienceCommunication and #Epistemology

It was a great pleasure to host @vincefort.bsky.social to talk about everything #BayesianDeepLearning! Thanks for the intro @marvinschmitt.com 🙏

New episode is out! How to build a winning Research group in a pro sports team, with Matthew Penn ⚽

One of the most original topics we talked about on the show! Make sure to tune in for some exotic destinations, original research and causal inference topics ;)

⚾ @fonnesbeck.bsky.social (@pymc-labs.bsky.social, @pymc.io) will be at the Field of Play Conference giving a talk on Bayesian modelling in baseball. 😎 Our host, @alex-andorra.bsky.social , will also be attending, don’t miss this chance to connect and chat research! 🔗 www.fieldofplay.co.uk

🎙 In this episode on @learnbayesstats.bsky.social , @fonnesbeck.bsky.social & @alex-andorra.bsky.social break it all down: ✅ Use Bayesian methods to 𝐪𝐮𝐚𝐧𝐭𝐢𝐟𝐲 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 ✅ Separate signal from noise with 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 & 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐭𝐢𝐦𝐞 𝐬𝐞𝐫𝐢𝐞𝐬 ✅ Future of @pymc.io and more!🤯 👇Listen here

Another fun live episode recorded @pydata.bsky.social NYC, this time diving into the dynamic world of #MarketingAnalytics

Always a blast to talk with @fonnesbeck.bsky.social from @pymc-devs.bsky.social @pymc-labs.bsky.social ! He's got so much experience, wisdom and useful advice. Whether you wanna talk stats, coffee or cocktails, he's your guy 😉

LBS was selected among the top 15 #StatsPodcast worldwide 🍾 Thank you so much to all of you who listen and make this nerdy adventure possible 🫶

So cool to see people are already trying out (and loving!) our #IntroBayes and #AdvancedRegression courses, with the great Ravin Kumar, @twiecki.bsky.social and @tomicapretto.bsky.social 🥰 ICYM, the first two lessons of each course are now available for FREE! Details: bsky.app/profile/alex...

Really fantastic to host Jesse Grabowski on the show! I learned so much about #TimeSeries thanks to him. And there is still so much I don't know, so I guess you'll have to come back very soon Jesse ;)

🔴 𝐇𝐨𝐰 𝐓𝐨 𝐅𝐨𝐜𝐮𝐬 𝐎𝐧 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐈𝐧 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 🔗 learnbayesstats.com/episode/124-... ✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc-devs.bsky.social @alex-andorra.bsky.social & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.

🚨 **Big News!** 🚨 The first two lessons of our Intuitive Bayes courses are now FREE! 🎉 Try them out to make sure they're the perfect fit before diving into the full experience

LBS is now offering YouTube Memberships! 👇 Here’s what this means for you: ✅ AMA & Community Access: Join private sessions & our exclusive Discord server! ✅ Insider Perks: Preview upcoming episodes & co-host an episode with @alex-andorra.bsky.social 😎 Join here 🔗 www.youtube.com/@learningbay...

In Jan/Feb I did a deep-dive into non-parametric causal inference with PyMC, touching on propensity score adjustments and mediation analysis: www.pymc.io/projects/exa... This was then turned into a modelling webinar on @alex-andorra.bsky.social's podcast : youtu.be/y9BeOr0AETw?...

Finally in December I had the pleasure of joining @alex-andorra.bsky.social a on the LBS podcast to discuss structural equation models (SEM), the role of Bayesian methods in People Analytics. This was a real treat as I've listened to the podcast as a fan for years! www.youtube.com/watch?v=WEb9...

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

New episode is out 🥳

🎧 Podcast Milestone 🗣 I recently had the pleasure of joining @alex-andorra.bsky.social on the @learnbayesstats.com podcast. We discussed SEM, CFA and People Analytics Surveys. Check it out here: youtu.be/6mL1J_b7_E0?...

New episode just dropped, about #CausalInference and #StructuralEquationModeling! Thanks again for taking the time @nathanielforde.bsky.social 🙏 It was a blast to have you on!

Max Göbel and I recently submitted a paper to the MIT Sloan Conference. We're using #HSGPs to isolate ⚽ players' contribution from team effects and introduce Skill- and Performance Above Replacement metrics. Paper is still WIP, but we put it on Arvix to get first feedback! arxiv.org/abs/2412.05911

Our @pydata.bsky.social tutorial with @fonnesbeck.bsky.social on Mastering #GaussianProcesses with @pymc-devs.bsky.social is now online 🥳 If you missed it live, come check it out! Enjoy & PyMCheers 🖖 Video: www.youtube.com/watch?v=u6I5... GitHub repo: github.com/AlexAndorra/...