👋 Farewell, X! After much thought, we’ve decided to move on. Thank you for being part of our X community, your support and conversations have meant so much💙 We’re still around! You can now follow us on: 👉LinkedIn: https://t.co/PDVEGtHpma 👉Mastodon:

🎙️We’re bringing your favourite Bayesian podcast to @bluesky 📊Join us for insights, discussions, & more on Bayesian reasoning and statistics. Follow us if you're into stats, data, or just curious to learn something new See you there!👋 https://t.co/lnNDz4vGuR #BlueskySocial

📢 Episode 119 is live! 🎙️ In this 𝑳𝑩𝑺 episode, @alex_andorra & @rmkubinec discuss corruption research, the challenges of measuring it, and survey techniques like randomized response and more! 🎧 https://t.co/Io3MJzjEv4 #LearningBayesianStatistics #Bayesian #Causal

🔍 Adapting Step Size in NUTS: A New Approach Using Gibbs Self-Tuning 🚀 A new paper introduces local step-size adaptivity in NUTS using the Gibbs Self-Tuning framework, dynamically adjusting step size to maintain reversibility. 👇Read more: 🔗 https://t.co/YlUMQ3lJfa #bayes

📢 Episode 118 is live! 🎧 https://t.co/XycrkVV3JO 🎙️In this 𝒇𝒊𝒓𝒔𝒕 𝒍𝒊𝒗𝒆 𝑳𝑩𝑺 𝒆𝒑𝒊𝒔𝒐𝒅𝒆, @alex_andorra chats with @charlesm993 and @ward_brianm about what’s new and what’s next for Stan. #LearningBayesianStatistics #Stan #Bayesian

👉 If you’re diving into amortized inference, check out BayesFlow's Awesome Amortized Inference repository 🔗 https://t.co/DAFnM5F6we 📘 @MarvinSchmittML has spearheaded a valuable effort to put together a repository that invites contributions, making it a go-to resource.

Warmly recommend Osvaldo's book! That was the first book I picked up when I started learning #BayesianStatistics 😍 Spoiler Alert: Osvaldo is gonna be back very soon on the show to talk about #BART, #PriorElicitation, and much more! Make sure to follow the show...

Getting ready for @pydatanyc 😍 We have two live shows coming up on November 7 & 8! 🎤 If you wanna be part of the live experience, join the Q&As, and connect with the speakers and @alex_andorra, get your ticket at https://t.co/Sik5nhbRd3 We can’t wait to see you there!

After the first two live shows at #StanCon, we're now bringing Learning Bayesian Statistics live at @pydatanyc 🍾 Can't wait to be there and meet you all! Schedule and links to get your tickets below 👇

📢 Episode 117 is live! 🎧 https://t.co/qAagrQBe0p 😎This time, we’re diving into Bayesian experimental design with @alex_andorra and @desirivanova It’s all about how to make smarter decisions! #LearningBayesianStatistics #ExperimentalDesign

Super excited to see the @LearnBayesStats podcast get a shoutout on Andrew Gelman’s blog! 🙌 Big thanks to Bob Carpenter for mentioning us in his post about defining statistical models in JAX. Definitely worth checking out!👉 https://t.co/1nBc1W7rQO

A real pleasure to host @analyseFooty on the show and talk about the future of #SoccerAnalytics ⚽ Ravi is a great professional and, even more important, a great person. Warmly recommend following him and give a listen to his analyses on The Transfer Flow! https://t.co/fQ4T1KgmJB

📅 We’re bringing LBS to @pydatanyc on Nov 7 & 8! 🎤 Be part of the live experience, join the Q&As, connect with the speakers and host @alex_andorra afterwards. 🎟️Get your tickets: https://t.co/7B0H9d2eS4 #LearningBayesianStatistics

📢 Episode 116 is now available! 🎧 https://t.co/6vKpTe2cqv In this episode, @alex_andorra and @analyseFooty dive deep into the world of football analytics. #LearningBayesianStatistics #Analytics

Hey, I know that guy! You should give this a listen.

Thank you to @alex_andorra for having me on. Really enjoyed talking about the science of baseball!

good interview. a little past halfway through he talks about the challenge of doing sports science when the field doesn't always teach the best statistical approaches and thus folks are repeating poor methodologies just because those are what they find in the literature.

Jacob is a jack of so many trades and a master of all of them. He’s also a genuinely 80 grade person. Excited to listen to this.

The first two #LiveEpisodes are coming your way soon... Thanks again to the @mcmc_stan team for the invitation and organization 😍

📢Episode 115 is now available! 🎧 https://t.co/GAUGvf4SE6 In this episode @alex_andorra sits down with @Nate__Haines to discuss about Time Series to estimate uncertainty and more ....