# #152 A Bayesian decision theory workflow, with Daniel Saunders Page: https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders Text version: https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders.md Podcast: [Learning Bayesian Statistics](https://stenobird.com/podcast/learning-bayesian-statistics) Published: 2026-02-26T13:30:00+00:00 Episode link: https://api.riverside.com/hosting-analytics/media/95318519ac27bed6716efd37eb25d49bd9b16c56173ffddff8c73977faf6e678/eyJlcGlzb2RlSWQiOiJlNTYwMTZiOC04MmM3LTRjYjItODBiYi1hNTk2MmY0MGQ4YjgiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjlhMDQzOTBjNmI2NzdjNTZjZTQwMjgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0yLTI2X18xMy01OC01Ni5tcDMifQ==.mp3 Audio file: https://api.riverside.com/hosting-analytics/media/95318519ac27bed6716efd37eb25d49bd9b16c56173ffddff8c73977faf6e678/eyJlcGlzb2RlSWQiOiJlNTYwMTZiOC04MmM3LTRjYjItODBiYi1hNTk2MmY0MGQ4YjgiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjlhMDQzOTBjNmI2NzdjNTZjZTQwMjgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0yLTI2X18xMy01OC01Ni5tcDMifQ==.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/learning-bayesian-statistics/episodes/152-a-bayesian-decision-theory-workflow-with-daniel-saunders Duration seconds: 4758 ## Resource • 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 ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/learning-bayesian-statistics/episodes/152-a-bayesian-decision-theory-workflow-with-daniel-saunders/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/learning-bayesian-statistics/152-a-bayesian-decision-theory-workflow-with-daniel-saunders.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.