# Learning Bayesian Statistics Page: https://stenobird.com/podcast/learning-bayesian-statistics Text version: https://stenobird.com/podcast/learning-bayesian-statistics.md RSS feed: https://feeds.captivate.fm/learnbayesstats/ Official site: https://www.learnbayesstats.com Author: Alexandre Andorra Episodes: 199 ## Resource Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! My name is Alex Andorra by the way. By day, I'm a Senior data scientist. By night, I don't (yet) fight crime, but I'm an open-sour… ## Machine-readable JSON: https://stenobird.com/v1/public/podcasts/learning-bayesian-statistics Markdown: https://stenobird.com/podcast/learning-bayesian-statistics.md ## Episodes - [#157 Amortized Inference & BayesFlow in Practice, with Stefan Radev](https://stenobird.com/podcast/learning-bayesian-statistics/157-amortized-inference-bayesflow-in-practice-with-stefan-radev) — 2026-05-06T04:45:00+00:00 - [How to Design Better Experiments with Expected Information Gain](https://stenobird.com/podcast/learning-bayesian-statistics/how-to-design-better-experiments-with-expected-information-gain) — 2026-05-01T02:00:00+00:00 - [#156 Bayesian Experimental Design & Active Learning, with Adam Foster](https://stenobird.com/podcast/learning-bayesian-statistics/156-bayesian-experimental-design-active-learning-with-adam-foster) — 2026-04-25T19:15:00+00:00 - [Pricing Under Uncertainty: A Bayesian Workflow](https://stenobird.com/podcast/learning-bayesian-statistics/pricing-under-uncertainty-a-bayesian-workflow) — 2026-04-16T17:45:00+00:00 - [#155 Probabilistic Programming for the Real World, with Andreas Munk](https://stenobird.com/podcast/learning-bayesian-statistics/155-probabilistic-programming-for-the-real-world-with-andreas-munk) — 2026-04-08T11:45:00+00:00 - [Bitesize | "What Would Have Happened?" - Bayesian Synthetic Control Explained](https://stenobird.com/podcast/learning-bayesian-statistics/bitesize-what-would-have-happened-bayesian-synthetic-control-explained) — 2026-04-02T18:00:00+00:00 - [#154 Bayesian Causal Inference at Scale, with Thomas Pinder](https://stenobird.com/podcast/learning-bayesian-statistics/154-bayesian-causal-inference-at-scale-with-thomas-pinder) — 2026-03-25T12:31:33+00:00 - [#153 The Neuroscience of Philanthropy, with Cherian Koshy](https://stenobird.com/podcast/learning-bayesian-statistics/153-the-neuroscience-of-philanthropy-with-cherian-koshy) — 2026-03-11T17:29:30+00:00 - [Bitesize | How To Model Risk Aversion In Pricing?](https://stenobird.com/podcast/learning-bayesian-statistics/bitesize-how-to-model-risk-aversion-in-pricing) — 2026-03-04T18:08:16+00:00 - [#152 A Bayesian decision theory workflow, with Daniel Saunders](https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders) — 2026-02-26T13:30:00+00:00 - [BITESIZE | How Do Diffusion Models Work?](https://stenobird.com/podcast/learning-bayesian-statistics/bitesize-how-do-diffusion-models-work) — 2026-02-19T18:15:00+00:00 - [#151 Diffusion Models in Python, a Live Demo with Jonas Arruda](https://stenobird.com/podcast/learning-bayesian-statistics/151-diffusion-models-in-python-a-live-demo-with-jonas-arruda) — 2026-02-12T12:30:00+00:00 - [#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik](https://stenobird.com/podcast/learning-bayesian-statistics/150-fast-bayesian-deep-learning-with-david-r-gamer-emanuel-sommer-jakob-robnik) — 2026-01-28T15:30:00+00:00 - [BITESIZE | Building Resilience in Modern Tech Careers](https://stenobird.com/podcast/learning-bayesian-statistics/bitesize-building-resilience-in-modern-tech-careers) — 2026-01-21T08:30:00+00:00 - [#149 The Future of Work in Tech, with Alana Karen](https://stenobird.com/podcast/learning-bayesian-statistics/149-the-future-of-work-in-tech-with-alana-karen) — 2026-01-14T13:00:00+00:00 - [BITESIZE | The Trial Design That Learns in Real Time](https://stenobird.com/podcast/learning-bayesian-statistics/bitesize-the-trial-design-that-learns-in-real-time) — 2026-01-07T13:00:00+00:00 - [#148 Adaptive Trials, Bayesian Thinking, and Learning from Data, with Scott Berry](https://stenobird.com/podcast/learning-bayesian-statistics/148-adaptive-trials-bayesian-thinking-and-learning-from-data-with-scott-berry) — 2025-12-30T10:20:49+00:00 - [#111 Nerdinsights from the Football Field, with Patrick Ward](https://stenobird.com/podcast/learning-bayesian-statistics/111-nerdinsights-from-the-football-field-with-patrick-ward) — 2024-07-24T11:00:00+00:00 - [#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter](https://stenobird.com/podcast/learning-bayesian-statistics/109-prior-sensitivity-analysis-overfitting-model-selection-with-sonja-winter) — 2024-06-25T11:00:00+00:00 - [#108 Modeling Sports & Extracting Player Values, with Paul Sabin](https://stenobird.com/podcast/learning-bayesian-statistics/108-modeling-sports-extracting-player-values-with-paul-sabin) — 2024-06-14T11:00:00+00:00 - [#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad](https://stenobird.com/podcast/learning-bayesian-statistics/104-automated-gaussian-processes-sequential-monte-carlo-with-feras-saad) — 2024-04-16T11:00:00+00:00 - [How to find black holes with Bayesian inference](https://stenobird.com/podcast/learning-bayesian-statistics/how-to-find-black-holes-with-bayesian-inference) — 2024-03-16T11:00:00+00:00 - [#99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie](https://stenobird.com/podcast/learning-bayesian-statistics/99-exploring-quantum-physics-with-bayesian-stats-with-chris-ferrie) — 2024-02-09T11:00:00+00:00 - [#89 Unlocking the Science of Exercise, Nutrition & Weight Management, with Eric Trexler](https://stenobird.com/podcast/learning-bayesian-statistics/89-unlocking-the-science-of-exercise-nutrition-weight-management-with-eric-trexler) — 2023-08-23T11:00:00+00:00 - [#88 Bridging Computation & Inference in Artificial Intelligent Systems, with Philipp Hennig](https://stenobird.com/podcast/learning-bayesian-statistics/88-bridging-computation-inference-in-artificial-intelligent-systems-with-philipp-hennig) — 2023-08-10T11:00:00+00:00 ## Actions Episode pages expose an explicit `request_transcript` action. 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