{"podcast":{"title":"Learning Bayesian Statistics","slug":"learning-bayesian-statistics","podcast_index_feed_id":1331380,"rss_url":"https://feeds.captivate.fm/learnbayesstats/","website_url":"https://www.learnbayesstats.com","image_url":"https://hosting-media.riverside.com/media/imports/podcasts/79e0a4fb-97ab-4e95-a875-24a8b9ee27da/2331893-1568966097324-58deab5a83dc6.jpg","author":"Alexandre Andorra","episode_count":199,"summary":"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…","last_synced_at":null,"page_url":"https://stenobird.com/podcast/learning-bayesian-statistics"},"episode":{"title":"#152 A Bayesian decision theory workflow, with Daniel Saunders","slug":"152-a-bayesian-decision-theory-workflow-with-daniel-saunders","published_at":"2026-02-26T13:30:00+00:00","page_url":"https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders","show_page_url":"https://stenobird.com/podcast/learning-bayesian-statistics","url":"https://api.riverside.com/hosting-analytics/media/95318519ac27bed6716efd37eb25d49bd9b16c56173ffddff8c73977faf6e678/eyJlcGlzb2RlSWQiOiJlNTYwMTZiOC04MmM3LTRjYjItODBiYi1hNTk2MmY0MGQ4YjgiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjlhMDQzOTBjNmI2NzdjNTZjZTQwMjgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0yLTI2X18xMy01OC01Ni5tcDMifQ==.mp3","audio_url":"https://api.riverside.com/hosting-analytics/media/95318519ac27bed6716efd37eb25d49bd9b16c56173ffddff8c73977faf6e678/eyJlcGlzb2RlSWQiOiJlNTYwMTZiOC04MmM3LTRjYjItODBiYi1hNTk2MmY0MGQ4YjgiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjlhMDQzOTBjNmI2NzdjNTZjZTQwMjgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0yLTI2X18xMy01OC01Ni5tcDMifQ==.mp3","summary":"• Support & get perks ! • Proudly sponsored by PyMC Labs ! • Intro to Bayes and Advanced Regression courses (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work ! Chapters: 00:00 The Importance of Decision-Making in Data Science 06:41 From Philosophy to Bayesian Statistics 14:57 The Role of Soft Skills in Data Science 18:19 Understanding Decision Theory Workflows 22:43 Shifting Focus from Accuracy to Business Value 26:23 Leveraging PyTensor for Optimization 34:27 Applying Optimal Decision-Making in Industry 40:06 Understanding Utility Functions in Regulation 41:35 Introduction to Obeisance Decision Theory Workflow 42:33 Exploring Price Elasticity and Demand 45:54 Optimizing Profit through Bayesian Models 51:12 Risk Aversion and Utility Functions 57:18 Advanced Risk Management Techniques 01:01:08 Practical Applications of Bayesian Decision-Making 01:06:54 Future Directions in Bayesian Inference 01:10:16 The Quest for Better Inference Algorithms 01:15:01 Dinner with a Polymath: Herbert Simon Thank you to my Patrons for making this episode possible! Links from the show: Come meet Alex at the Field of Play Conference in Manchester, UK, March 27, 2026! https://www.fieldofplay.co.uk/ A Bayesian decision theory workflow Daniel's website, LinkedIn and GitHub LBS #124 State Space Models & Structural Time Series, with Jesse Grabowski LBS #123 BART & The Future of Bayesian Tools, with Osvaldo Martin LBS #74 Optimizing NUTS and Developing the ZeroSumNormal Distribution, with Adrian Seyboldt LBS #76 The Past, Present & Future of Stan, with Bob Carpenter","meta_description":"• Support & get perks ! • Proudly sponsored by PyMC Labs ! • Intro to Bayes and Advanced Regression courses (first 2 lessons free) Our theme music is…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4758,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/learning-bayesian-statistics/episodes/152-a-bayesian-decision-theory-workflow-with-daniel-saunders/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}