#152 A Bayesian decision theory workflow, with Daniel Saunders
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À propos de ce contenu audio
• Support & get perks!
• Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com
• 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
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